DeepSeek, open weights

# DeepSeek-V3.1-Terminus

> DeepSeek-V3.1-Terminus by DeepSeek, released September 2025. Ranked #97 of 354 with a Noometry Index of 43.1. API: $0.27 in / $1 out per M tokens. 164K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/deepseek-v3-1-terminus
- Last updated: 2026-10-10
- Title: DeepSeek-V3.1-Terminus Benchmarks, Price & Rank (October 2026)

DeepSeek-V3.1-Terminus by DeepSeek ranks 97th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.1. Its strongest category is multilingual, where it ranks 92nd. API pricing starts at $0.27 per million input tokens and $1 per million output tokens, with a 164K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #97 of 354
- **Index score:** 43.1
- **Evidence:** Confirmed 16 results
- **Provider:** [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek)
- **Released:** September 22, 2025
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 164K
- **Max output:** 147K
- **Input price:** $0.27 / M
- **Output price:** $1 / M
- **Blended price:** $0.45 / M
- **Output speed:** 30 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #64 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text
- **Hugging Face:** [deepseek-ai/DeepSeek-V3.1-Terminus](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus)

## Category scores

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

DeepSeek-V3.1-Terminus category scores

1.  Coding 42.0
2.  Reasoning 26.4
3.  Math 38.5
4.  Multilingual 52.1
5.  Instruction Following 74.0
6.  Long Context 43.4
7.  Writing & Preference 61.0
8.  020406080

DeepSeek-V3.1-Terminus category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 42.0 | #113 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 26.4 | #133 | 5 |
| [Math](https://noometry.com/best/math) | 38.5 | #137 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.1 | #92 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.0 | #106 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.4 | #97 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 61.0 | #92 | 3 |

## Strengths and weaknesses

Categories where DeepSeek-V3.1-Terminus places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

DeepSeek-V3.1-Terminus: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 61.0 | +7.2 | #92 of 312, top 30% |
| [Multilingual](https://noometry.com/best/multilingual) | 52.1 | +4.7 | #92 of 297, top 31% |
| [Long Context](https://noometry.com/best/long-context) | 43.4 | +2.5 | #97 of 296, top 33% |

### Weakest categories

DeepSeek-V3.1-Terminus: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 38.5 | +1.9 | #137 of 327, top 42% |
| [Reasoning](https://noometry.com/best/reasoning) | 26.4 | +2.8 | #133 of 350, top 38% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.0 | +2.8 | #106 of 305, top 35% |

## Closest competitors

The models ranked just above and below DeepSeek-V3.1-Terminus. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to DeepSeek-V3.1-Terminus
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | #93 | 43.4 | $0.18 | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mimo-v2-5) |
| [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | #94 | 43.3 | $1.71 | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-kimi-k2-7-code) |
| [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | #95 | 43.2 | $1.22 | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-qwen3-vl-235b-a22b) |
| [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | #96 | 43.2 | $1.13 | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-dola-seed-2-0-pro) |
| [Hunyuan Vision 1.5](https://noometry.com/models/hunyuan-vision-1-5) | #98 | 43.1 | — | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-hunyuan-vision-1-5) |
| [Mistral Large 4](https://noometry.com/models/mistral-large-4) | #99 | 43.1 | $1.03 | — | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mistral-large-4) |
| [Claude Opus 4](https://noometry.com/models/claude-opus-4) | #100 | 43.1 | $30 | 29 | [Compare](https://noometry.com/compare/claude-opus-4-vs-deepseek-v3-1-terminus) |
| [Amazon Nova Experimental Chat 11 10](https://noometry.com/models/amazon-nova-experimental-chat-11-10) | #101 | 43.0 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-deepseek-v3-1-terminus) |

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

DeepSeek-V3.1-Terminus Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SciCode](https://noometry.com/benchmarks/scicode) | 40.6% | #75 of 121, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1426 | #115 of 294, top 40% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 745.17 | #66 of 105, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

DeepSeek-V3.1-Terminus Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 57.4% | #47 of 99, top 48% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 1.7% | #73 of 134, top 55% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1426 | #96 of 297, top 33% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 81.3% | #69 of 151, top 46% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 28.6% | #80 of 125, top 64% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

DeepSeek-V3.1-Terminus Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1402 | #124 of 285, top 44% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

DeepSeek-V3.1-Terminus Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1407 | #92 of 297, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1436 | #55 of 283, top 20% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

DeepSeek-V3.1-Terminus Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1404 | #99 of 298, top 34% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

DeepSeek-V3.1-Terminus Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1421 | #91 of 291, top 32% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

DeepSeek-V3.1-Terminus Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1419 | #98 of 297, top 33% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1403 | #73 of 295, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1411 | #109 of 295, top 37% | thinking | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

DeepSeek-V3.1-Terminus API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [openrouter](https://openrouter.ai/deepseek/deepseek-v3.1-terminus) | $0.27 | $1 | — | 2026-10-10 |

[All DeepSeek API prices →](https://noometry.com/llm-pricing/deepseek) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare DeepSeek-V3.1-Terminus

-   [DeepSeek-V3.1-Terminus vs Seed 2.0 Pro](https://noometry.com/compare/deepseek-v3-1-terminus-vs-dola-seed-2-0-pro)
-   [DeepSeek-V3.1-Terminus vs Hunyuan Vision 1.5](https://noometry.com/compare/deepseek-v3-1-terminus-vs-hunyuan-vision-1-5)
-   [DeepSeek-V3.1-Terminus vs Qwen3-VL 235B-A22B](https://noometry.com/compare/deepseek-v3-1-terminus-vs-qwen3-vl-235b-a22b)
-   [DeepSeek-V3.1-Terminus vs Mistral Large 4](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mistral-large-4)
-   [DeepSeek-V3.1-Terminus vs Kimi K2.7 Code](https://noometry.com/compare/deepseek-v3-1-terminus-vs-kimi-k2-7-code)
-   [DeepSeek-V3.1-Terminus vs Claude Opus 4](https://noometry.com/compare/claude-opus-4-vs-deepseek-v3-1-terminus)
-   [DeepSeek-V3.1-Terminus vs GPT-6 Astra](https://noometry.com/compare/deepseek-v3-1-terminus-vs-gpt-6-astra)
-   [DeepSeek-V3.1-Terminus vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-deepseek-v3-1-terminus)
-   [DeepSeek-V3.1-Terminus vs Gemini 3.8 Flash](https://noometry.com/compare/deepseek-v3-1-terminus-vs-gemini-3-8-flash)
-   [DeepSeek-V3.1-Terminus vs Kimi K3](https://noometry.com/compare/deepseek-v3-1-terminus-vs-kimi-k3)
-   [DeepSeek-V3.1-Terminus vs Grok 4.6](https://noometry.com/compare/deepseek-v3-1-terminus-vs-grok-4-6)
-   [DeepSeek-V3.1-Terminus vs Qwen3.8 Max](https://noometry.com/compare/deepseek-v3-1-terminus-vs-qwen3-8-max)
-   [DeepSeek-V3.1-Terminus vs GLM-5.3](https://noometry.com/compare/deepseek-v3-1-terminus-vs-glm-5-3)
-   [DeepSeek-V3.1-Terminus vs Muse Spark 1.3](https://noometry.com/compare/deepseek-v3-1-terminus-vs-muse-spark-1-3)

## Other DeepSeek models

-   [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro)54.3
-   [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash)53.6
-   [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash)52.8
-   [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp)44.3
-   [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1)42.8
-   [DeepSeek-R1](https://noometry.com/models/deepseek-r1)42.3
-   [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale)39.7
-   [DeepSeek-V3](https://noometry.com/models/deepseek-v3)39.5

## Frequently asked questions

### How good is DeepSeek-V3.1-Terminus?

DeepSeek-V3.1-Terminus by DeepSeek ranks 97th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.1. Its strongest category is multilingual, where it ranks 92nd. API pricing starts at $0.27 per million input tokens and $1 per million output tokens, with a 164K-token context window.

### How much does DeepSeek-V3.1-Terminus cost?

DeepSeek-V3.1-Terminus costs $0.27 per million input tokens and $1 per million output tokens on openrouter.

### What is DeepSeek-V3.1-Terminus's context window?

DeepSeek-V3.1-Terminus accepts up to 164K tokens of input and can write up to 147K tokens in one response.

### Is DeepSeek-V3.1-Terminus open source?

Yes. DeepSeek-V3.1-Terminus's weights are downloadable from Hugging Face (deepseek-ai/DeepSeek-V3.1-Terminus); check the license for commercial terms.

### How fast is DeepSeek-V3.1-Terminus?

DeepSeek-V3.1-Terminus generated about 30 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are DeepSeek-V3.1-Terminus's strengths and weaknesses?

Relative to other ranked models, DeepSeek-V3.1-Terminus places best in writing & preference, multilingual, long context and lowest in math, reasoning, instruction following.

### What is DeepSeek-V3.1-Terminus best at?

Its best category is multilingual, where it ranks 92nd on Noometry.

### Cite this page

Noometry. (2026). DeepSeek-V3.1-Terminus benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/deepseek-v3-1-terminus

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/deepseek-v3-1-terminus.md).