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# Amazon Nova Experimental Chat (10 09)

> Amazon Nova Experimental Chat (10 09) by Amazon. Ranked #86 of 368 with a Noometry Index of 45.5. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/amazon-nova-experimental-chat
- Last updated: 2026-11-04
- Title: Amazon Nova Experimental Chat (10 09) Benchmarks, Price & Rank (November 2026)

Amazon Nova Experimental Chat (10 09) by Amazon ranks 86th of 368 ranked models on the Noometry Index as of November 2026, with a score of 45.5. Its strongest category is multilingual, where it ranks 53rd.

Last verified November 4, 2026

## Specifications

- **Noometry rank:** #86 of 368
- **Index score:** 45.5
- **Evidence:** Confirmed 17 results
- **Provider:** [Amazon](https://noometry.com/providers/amazon)
- **Released:** Unknown
- **Weights:** Unknown
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Amazon Nova Experimental Chat (10 09) category scores

1.  Coding 44.6
2.  Reasoning 33.0
3.  Math 41.5
4.  Knowledge 43.4
5.  Multilingual 52.8
6.  Instruction Following 75.0
7.  Long Context 44.0
8.  Writing & Preference 61.9
9.  020406080

Amazon Nova Experimental Chat (10 09) category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 44.6 | #81 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 33.0 | #86 | 1 |
| [Math](https://noometry.com/best/math) | 41.5 | #110 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 43.4 | #105 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.8 | #53 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.0 | #71 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.0 | #77 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 61.9 | #88 | 3 |

## Strengths and weaknesses

Categories where Amazon Nova Experimental Chat (10 09) places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Amazon Nova Experimental Chat (10 09): strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 52.8 | +5.9 | #53 of 294, top 19% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.0 | +4.0 | #71 of 308, top 24% |
| [Coding](https://noometry.com/best/coding) | 44.6 | +5.3 | #81 of 346, top 24% |

### Weakest categories

Amazon Nova Experimental Chat (10 09): weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 43.4 | +5.1 | #105 of 326, top 33% |
| [Math](https://noometry.com/best/math) | 41.5 | +2.9 | #110 of 342, top 33% |
| [Writing & Preference](https://noometry.com/best/writing) | 61.9 | +8.4 | #88 of 317, top 28% |

## Closest competitors

The models ranked just above and below Amazon Nova Experimental Chat (10 09). When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Amazon Nova Experimental Chat (10 09)
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | #82 | 46.0 | $4.81 | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gpt-5-3-codex) |
| [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | #83 | 45.9 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-kimi-k2-thinking-turbo) |
| [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | #84 | 45.8 | $0.54 | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-mimo-v2-5-pro) |
| [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | #85 | 45.5 | $0.70 | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-qwen3-7-plus) |
| [Nvidia Nemotron 3 Ultra 550b A55b (nvfp4)](https://noometry.com/models/nvidia-nemotron-3-ultra-550b-a55b) | #87 | 45.2 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-nvidia-nemotron-3-ultra-550b-a55b) |
| [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | #88 | 45.1 | $1.69 | 10 | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gpt-5-4-mini) |
| [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | #89 | 45.1 | $3.44 | 5 | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gemini-2-5-pro) |
| [Hy3](https://noometry.com/models/hy3) | #90 | 45.0 | $0.23 | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-vs-hy3) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Amazon Nova Experimental Chat (10 09) Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1430 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1370 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1413 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1433 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1447 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1483 | #45 of 291, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Reasoning

Amazon Nova Experimental Chat (10 09) Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1427 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1396 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1459 | #51 of 294, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1422 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1415 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1356 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Math

Amazon Nova Experimental Chat (10 09) Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1404 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1437 | #76 of 283, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1419 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1431 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1426 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Knowledge

Amazon Nova Experimental Chat (10 09) Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1506 | #21 of 271, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1385 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1445 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1408 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1430 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Multilingual

Amazon Nova Experimental Chat (10 09) Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1340 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1381 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1435 | #53 of 294, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1398 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1405 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1372 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1464 | #87 of 281, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1406 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1462 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1341 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1439 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1375 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1449 | #76 of 229, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1426 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1391 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1396 | #104 of 236, top 45% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1360 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1381 | #84 of 218, top 39% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1323 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1384 | #78 of 217, top 36% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1392 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1395 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1423 | #80 of 280, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1371 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1394 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1381 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1390 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1444 | #62 of 229, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Instruction Following

Amazon Nova Experimental Chat (10 09) Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1381 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1365 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1315 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1427 | #66 of 294, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1386 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1387 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Long Context

Amazon Nova Experimental Chat (10 09) Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1370 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1395 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1399 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1333 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1390 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1441 | #65 of 287, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Writing & Preference

Amazon Nova Experimental Chat (10 09) Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1420 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1415 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1394 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1364 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1396 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1449 | #47 of 294, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1349 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1350 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1330 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1369 | #114 of 292, top 40% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1318 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1306 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1355 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1442 | #72 of 292, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1380 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1409 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1380 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1364 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

## Compare Amazon Nova Experimental Chat (10 09)

-   [Amazon Nova Experimental Chat (10 09) vs Qwen3.7 Plus](https://noometry.com/compare/amazon-nova-experimental-chat-vs-qwen3-7-plus)
-   [Amazon Nova Experimental Chat (10 09) vs Nvidia Nemotron 3 Ultra 550b A55b (nvfp4)](https://noometry.com/compare/amazon-nova-experimental-chat-vs-nvidia-nemotron-3-ultra-550b-a55b)
-   [Amazon Nova Experimental Chat (10 09) vs MiMo-V2.5-Pro](https://noometry.com/compare/amazon-nova-experimental-chat-vs-mimo-v2-5-pro)
-   [Amazon Nova Experimental Chat (10 09) vs GPT-5.4 mini](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gpt-5-4-mini)
-   [Amazon Nova Experimental Chat (10 09) vs Kimi K2 Thinking Turbo](https://noometry.com/compare/amazon-nova-experimental-chat-vs-kimi-k2-thinking-turbo)
-   [Amazon Nova Experimental Chat (10 09) vs Gemini 2.5 Pro](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gemini-2-5-pro)
-   [Amazon Nova Experimental Chat (10 09) vs GPT-6 Astra](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gpt-6-astra)
-   [Amazon Nova Experimental Chat (10 09) vs Claude Opus 5.5](https://noometry.com/compare/amazon-nova-experimental-chat-vs-claude-opus-5-5)
-   [Amazon Nova Experimental Chat (10 09) vs Gemini 4 Argon](https://noometry.com/compare/amazon-nova-experimental-chat-vs-gemini-4-argon)
-   [Amazon Nova Experimental Chat (10 09) vs Kimi K3](https://noometry.com/compare/amazon-nova-experimental-chat-vs-kimi-k3)
-   [Amazon Nova Experimental Chat (10 09) vs DeepSeek V4.1 Flash](https://noometry.com/compare/amazon-nova-experimental-chat-vs-deepseek-v4-1-flash)
-   [Amazon Nova Experimental Chat (10 09) vs Muse Wonder](https://noometry.com/compare/amazon-nova-experimental-chat-vs-muse-wonder)
-   [Amazon Nova Experimental Chat (10 09) vs Qwen3.8 Max](https://noometry.com/compare/amazon-nova-experimental-chat-vs-qwen3-8-max)
-   [Amazon Nova Experimental Chat (10 09) vs Grok 4.6](https://noometry.com/compare/amazon-nova-experimental-chat-vs-grok-4-6)

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-   [Amazon Nova Lite 1.0](https://noometry.com/models/amazon-nova-lite-1-0)36.1
-   [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite)34.8
-   [Nova 2.0 Pro Preview](https://noometry.com/models/nova-2-0-pro-preview)34.3
-   [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro)33.1

## Frequently asked questions

### How good is Amazon Nova Experimental Chat (10 09)?

Amazon Nova Experimental Chat (10 09) by Amazon ranks 86th of 368 ranked models on the Noometry Index as of November 2026, with a score of 45.5. Its strongest category is multilingual, where it ranks 53rd.

### Is Amazon Nova Experimental Chat (10 09) open source?

Amazon has not published downloadable weights for Amazon Nova Experimental Chat (10 09) that we can confirm.

### What are Amazon Nova Experimental Chat (10 09)'s strengths and weaknesses?

Relative to other ranked models, Amazon Nova Experimental Chat (10 09) places best in multilingual, instruction following, coding and lowest in knowledge, math, writing & preference.

### What is Amazon Nova Experimental Chat (10 09) best at?

Its best category is multilingual, where it ranks 53rd on Noometry.

### Cite this page

Noometry. (2026). Amazon Nova Experimental Chat (10 09) benchmarks and pricing. Retrieved November 4, 2026, from https://noometry.com/models/amazon-nova-experimental-chat

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/amazon-nova-experimental-chat.md).