Model comparison
Kimi K2.5 (Reasoning) vs Mistral Large 3
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.5 (Reasoning) #57 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.5 (Reasoning) and Mistral Large 3 share 16 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Kimi K2.5 (Reasoning); 0 to Mistral Large 3.
Updated July 22, 2026- Shared results
- 16
- Kimi K2.5 (Reasoning) only
- 11
- Mistral Large 3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2.5 (Reasoning) and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Kimi K2.5 (Reasoning) is priced at $0.60 input / $3.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Kimi K2.5 (Reasoning) | Δ | Mistral Large 3 |
|---|---|---|---|
| Agentic | Kimi K2.5 (Reasoning)55.0 | MarginNo overlap | Mistral Large 3Not measured |
| Coding | Kimi K2.5 (Reasoning)76.8 | MarginNo overlap | Mistral Large 3Not measured |
| Knowledge | Kimi K2.5 (Reasoning)87.2 | MarginNo overlap | Mistral Large 3Not measured |
| Multimodal | Kimi K2.5 (Reasoning)78.5 | MarginNo overlap | Mistral Large 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.5 (Reasoning) | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.5 (Reasoning)$0.6 input / $3 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.5 (Reasoning)Not available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.5 (Reasoning)Not available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.5 (Reasoning)128K | Mistral Large 3128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Mistral Large 3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50.8% | — | Not comparable |
| BrowseCompSource | 60.6% | — | Not comparable |
| APEX-Agents-AASource | 11.5% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | 24.6% | Kimi K2.5 (Reasoning) leads |
| Gert LabsSource | 32.58% | — | Not comparable |
| AA Agentic IndexSource | 21.7% | 5.5% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 25.4% | 6.6% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 1009 | 633 | Kimi K2.5 (Reasoning) leads |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Mistral Large 3 | Result |
|---|---|---|---|
| GPQASource | 87.6% | — | Not comparable |
| MMLU-ProSource | 87.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.4% | 15.9% | Kimi K2.5 (Reasoning) leads |
| AA-GPQA DiamondSource | 87.9% | 68.0% | Kimi K2.5 (Reasoning) leads |
| AA-HLESource | 29.4% | 4.1% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience IndexSource | -8.1% | -39.4% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience AccuracySource | 34.3% | 24.1% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 64.6% | 83.7% | Kimi K2.5 (Reasoning) leads |
Math1 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Mistral Large 3 | Result |
|---|---|---|---|
| AIME 2025Source | 96.1% | — | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.2% | 36.2% | Kimi K2.5 (Reasoning) leads |
Frequently Asked Questions (3)
Can I compare Kimi K2.5 (Reasoning) and Mistral Large 3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Kimi K2.5 (Reasoning) and Mistral Large 3 today?
Kimi K2.5 (Reasoning): $0.60 input / $3.00 output per 1M tokens Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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