Model comparison
MiniMax M3 vs Mistral Medium 3
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: MiniMax M3 #18; Mistral Medium 3 unranked
BenchAlign evidence: MiniMax M3 supported; Mistral Medium 3 estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and Mistral Medium 3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 31 results are unique to MiniMax M3; 0 to Mistral Medium 3.
Updated July 16, 2026- Shared results
- 14
- MiniMax M3 only
- 31
- Mistral Medium 3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiniMax M3 and Mistral Medium 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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.
Mistral Medium 3 is priced at $0.40 input / $2.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. MiniMax M3 has the larger context window at 1M, compared with 128K for Mistral Medium 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 | MiniMax M3 | Δ | Mistral Medium 3 |
|---|---|---|---|
| Agentic | MiniMax M372.3 | MarginNo overlap | Mistral Medium 3Not measured |
| Coding | MiniMax M372.2 | MarginNo overlap | Mistral Medium 3Not measured |
| Math | MiniMax M385.7 | MarginNo overlap | Mistral Medium 3Not measured |
| Multimodal | MiniMax M364.9 | MarginNo overlap | Mistral Medium 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | Mistral Medium 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | Mistral Medium 3$0.4 input / $2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | MiniMax M3Not available | Mistral Medium 357 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | Mistral Medium 31.20 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | Mistral Medium 3128K | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66% | — | Not comparable |
| BrowseCompSource | 83.5% | — | Not comparable |
| OSWorld-VerifiedSource | 70.1% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| Claw-EvalSource | 74.5% | — | Not comparable |
| AA Agentic IndexSource | 35.4% | — | Not comparable |
| τ²-bench resultsSource | 88.9% | 24.3% | MiniMax M3 leads |
| GDPval-AASource | 44.7% | — | Not comparable |
| GDPval-AASource | 1395 | — | Not comparable |
| GDPval rubricsSource | 74.7% | — | Not comparable |
| BankerToolBenchSource | 76.1% | — | Not comparable |
| ResearchClawBenchSource | 19.8% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 1110 | — | Not comparable |
| AA EnterpriseOps-GymSource | 32.1% | — | Not comparable |
| AA Harvey LABSource | 6.7% | — | Not comparable |
Coding11 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.5% | — | Not comparable |
| SWE-bench ProSource | 59% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.0% | — | Not comparable |
| NL2RepoSource | 42.1% | — | Not comparable |
| AA Coding IndexSource | 58.6% | — | Not comparable |
| Terminal-Bench HardSource | 42.4% | 3.8% | MiniMax M3 leads |
| AA-SciCodeSource | 45.4% | 33.1% | MiniMax M3 leads |
| VIBE V2Source | 50.1% | — | Not comparable |
| SVG-BenchSource | 63.7% | — | Not comparable |
| KernelBench HardSource | 28.8% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 65.2% | — | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | 12.5% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 92.9% | 57.8% | MiniMax M3 leads |
| AA-HLESource | 37.1% | 4.3% | MiniMax M3 leads |
| AA-Omniscience IndexSource | 1.4% | -31.5% | MiniMax M3 leads |
| AA-Omniscience AccuracySource | 15.0% | 18.3% | Mistral Medium 3 leads |
| AA-Omniscience Hallucination RateSource | 16.1% | 60.9% | MiniMax M3 leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math1 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| USAMO 2026Source | 85.7% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| OfficeQA ProSource | 45.1% | — | Not comparable |
| OmniDocBench 1.5Source | 91.6% | — | Not comparable |
| MMMU-ProSource | 78.1% | — | Not comparable |
| VideoMMMUSource | 84.6% | — | Not comparable |
| Video-MME (with subtitle)Source | 85.4% | — | Not comparable |
| Design Arena WebsiteSource | 1294 | 1114 | MiniMax M3 leads |
| AA-MMMU-ProSource | 78.6% | 53.0% | MiniMax M3 leads |
Inst. Following1 benchmarks
| Benchmark | MiniMax M3 | Mistral Medium 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 82.9% | 39.3% | MiniMax M3 leads |
Frequently Asked Questions (3)
Can I compare MiniMax M3 and Mistral Medium 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 MiniMax M3 and Mistral Medium 3 today?
MiniMax M3: $0.30 input / $1.20 output per 1M tokens Mistral Medium 3: $0.40 input / $2.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.