Model comparison
MiniMax M2.5 vs Mistral Large 2
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiniMax M2.5 #55 (Supported); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M2.5 and Mistral Large 2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to MiniMax M2.5; 11 to Mistral Large 2.
Updated July 21, 2026- Shared results
- 0
- MiniMax M2.5 only
- 1
- Mistral Large 2 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for MiniMax M2.5 and Mistral Large 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M2.5 | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M2.5$0.3 input / $1.2 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | MiniMax M2.546 tok/s | Mistral Large 238 tok/s | MiniMax M2.5 has the higher measured throughput. |
| First-answer latencyseconds to first token | MiniMax M2.52.12 s | Mistral Large 21.45 s | Mistral Large 2 reaches the first token sooner. |
| Context windowmaximum listed tokens | MiniMax M2.5128K | Mistral Large 2128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | MiniMax M2.5 | Mistral Large 2 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 30.7% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | MiniMax M2.5 | Mistral Large 2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 9.2% | Not comparable |
| AA-GPQA DiamondSource | — | 48.6% | Not comparable |
| AA-HLESource | — | 4.0% | Not comparable |
| AA-Omniscience IndexSource | — | -34.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 20.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 67.8% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiniMax M2.5 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 31.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare MiniMax M2.5 and Mistral Large 2 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 MiniMax M2.5 and Mistral Large 2 today?
MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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