Model comparison
Kimi K2 vs Mistral Large 3
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2 #189 (Supported); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2 and Mistral Large 3 share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Kimi K2; 5 to Mistral Large 3.
Updated July 20, 2026- Shared results
- 11
- Kimi K2 only
- 3
- Mistral Large 3 only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2 and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 is priced at $0.60 input / $2.50 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 | Δ | Mistral Large 3 |
|---|---|---|---|
| Math | Kimi K216.1 | 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 | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2$0.6 input / $2.5 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | Kimi K243 tok/s | Mistral Large 348 tok/s | Mistral Large 3 has the higher measured throughput. |
| First-answer latencyseconds to first token | Kimi K21.51 s | Mistral Large 31.04 s | Mistral Large 3 reaches the first token sooner. |
| Context windowmaximum listed tokens | Kimi K2128K | Mistral Large 3128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Kimi K2 | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.4% | 15.9% | Kimi K2 leads |
| AA-GPQA DiamondSource | 76.6% | 68.0% | Kimi K2 leads |
| AA-HLESource | 7.0% | 4.1% | Kimi K2 leads |
| AA-Omniscience IndexSource | -27.5% | -39.4% | Kimi K2 leads |
| AA-Omniscience AccuracySource | 26.8% | 24.1% | Kimi K2 leads |
| AA-Omniscience Hallucination RateSource | 74.2% | 83.7% | Kimi K2 leads |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Kimi K2 | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.5% | 36.2% | Kimi K2 leads |
Frequently Asked Questions (3)
Can I compare Kimi K2 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 and Mistral Large 3 today?
Kimi K2: $0.60 input / $2.50 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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