Model comparison
Amazon Nova Pro vs Kimi K2.5
Kimi K2.5 is the stronger model overall, scoring 48.1 to 31.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Kimi K2.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 27.4.
- The biggest single-benchmark swing is Humanity's Last Exam: 4.4% for Amazon Nova Pro and 24.4% for Kimi K2.5.
- Kimi K2.5 is cheaper at $0.45 / $2.25 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Kimi K2.5 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Kimi K2.5 | |
|---|---|---|
| Provider | Amazon | Moonshot AI |
| Noometry Index | 31.0 | 48.1 |
| Released | 2024-12-03 | 2026-01-27 |
| Weights | Proprietary | Open |
| Context window | 300K | 262K |
| Max output | 10K | 262K |
| Input $ / M tokens | $0.80 | $0.45 |
| Output $ / M tokens | $3.20 | $2.25 |
| Results tracked | 38 | 51 |
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Category by category
Coding Kimi K2.5 leads
Amazon Nova Pro: 35.1 (#229), Kimi K2.5: 48.8 (#53)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Coding | 1270 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| WeirdML | — | 45.6% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 821.65 |
Agentic & Tool Use Kimi K2.5 leads
Amazon Nova Pro: 16.7 (#147), Kimi K2.5: 34.2 (#48)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |
Reasoning Kimi K2.5 leads
Amazon Nova Pro: 20.0 (#243), Kimi K2.5: 31.2 (#80)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1453 |
| Epoch Capabilities Index | 123.8 | 148.03 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 78.5% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| LiveBench | 43.5% | — |
Math Kimi K2.5 leads
Amazon Nova Pro: 28.5 (#243), Kimi K2.5: 51.8 (#53)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1252 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Kimi K2.5 leads
Amazon Nova Pro: 27.4 (#250), Kimi K2.5: 53.6 (#56)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| Humanity's Last Exam | 4.4% | 24.4% |
| Vectara Hallucination Rate | 5.1% | 14.2% |
| LMArena Expert | 1211 | 1466 |
| GPQA Diamond | — | 87.6% |
| SimpleQA Verified | — | 34.3% |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal Kimi K2.5 leads
Amazon Nova Pro: 25.0 (#126), Kimi K2.5: 41.1 (#39)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Vision | 980 | 1269 |
| LMArena Document | — | 1430 |
Multilingual Kimi K2.5 leads
Amazon Nova Pro: 39.7 (#223), Kimi K2.5: 53.9 (#53)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1234 | 1433 |
| LMArena Chinese | 1244 | 1495 |
| LMArena French | 1271 | 1454 |
| LMArena German | 1243 | 1441 |
| LMArena Japanese | 1200 | 1421 |
| LMArena Korean | 1203 | 1410 |
| LMArena Russian | 1240 | 1435 |
| LMArena Spanish | 1182 | 1450 |
Instruction Following Kimi K2.5 leads
Amazon Nova Pro: 64.9 (#226), Kimi K2.5: 75.3 (#64)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1235 | 1431 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context Kimi K2.5 leads
Amazon Nova Pro: 38.1 (#205), Kimi K2.5: 52.1 (#7)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1255 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |
Writing & Preference Kimi K2.5 leads
Amazon Nova Pro: 43.9 (#226), Kimi K2.5: 65.1 (#53)
| Benchmark | Amazon Nova Pro | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1259 | 1445 |
| LMArena Creative Writing | 1212 | 1423 |
| LMArena Multi-Turn | 1246 | 1444 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 1579 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Kimi K2.5?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 31.0 on the Noometry Index.
Which is cheaper, Amazon Nova Pro or Kimi K2.5?
Kimi K2.5 is cheaper. It lists at $0.45 per million input tokens and $2.25 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or Kimi K2.5 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 262K.
How many benchmarks do Amazon Nova Pro and Kimi K2.5 share?
21 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Kimi K2.5 has 51.