Model comparison
Kimi K2.5 vs Mistral Nemo
Kimi K2.5 is the stronger model overall, scoring 48.1 to 26.4 on the Noometry Index. Mistral Nemo costs 6.0× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Kimi K2.5 scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 87.6% for Kimi K2.5 and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- Kimi K2.5 accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.5 | Mistral Nemo | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 48.1 | 26.4 |
| Released | 2026-01-27 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 128K |
| Input $ / M tokens | $0.45 | $0.15 |
| Output $ / M tokens | $2.25 | $0.15 |
| Results tracked | 51 | 10 |
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Category by category
Coding Not comparable
Kimi K2.5: 48.8 (#53), Mistral Nemo: —
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| 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% | — |
| LMArena Coding | 1474 | — |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Kimi K2.5 leads
Kimi K2.5: 34.2 (#48), Mistral Nemo: 23.5 (#125)
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| OSWorld | 63.3% | — |
| BALROG | — | 17.6% |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Mistral Nemo: 20.7 (#232)
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 148.03 | 118.68 |
| 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% | — |
| LMArena Hard Prompts | 1453 | — |
| DTBench | — | 48.6% |
| PIQA | — | 83.5% |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Mistral Nemo: 25.5 (#268)
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| LMArena Math | 1470 | — |
| MATH Level 5 | — | 10.8% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 84.2% |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), Mistral Nemo: 12.3 (#298)
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 87.6% | 29.9% |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Vectara Hallucination Rate | 14.2% | — |
| LMArena Expert | 1466 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), Mistral Nemo: —
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Not comparable
Kimi K2.5: 53.9 (#53), Mistral Nemo: —
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1433 | — |
| LMArena Chinese | 1495 | — |
| LMArena French | 1454 | — |
| LMArena German | 1441 | — |
| LMArena Japanese | 1421 | — |
| LMArena Korean | 1410 | — |
| LMArena Russian | 1435 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
Kimi K2.5: 75.3 (#64), Mistral Nemo: —
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1431 | — |
Long Context Not comparable
Kimi K2.5: 52.1 (#7), Mistral Nemo: —
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
| LMArena Longer Query | 1445 | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Mistral Nemo: 28.5 (#296)
| Benchmark | Kimi K2.5 | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1579 | 881 |
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1423 | — |
| LMArena Multi-Turn | 1444 | — |
Frequently asked questions
Is Kimi K2.5 better than Mistral Nemo?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 26.4 on the Noometry Index. Mistral Nemo costs 6.0× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.5 and Mistral Nemo share?
3 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mistral Nemo has 10.