Model comparison
MiniMax M3 vs Mistral Small 4
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: MiniMax M3 #18; Mistral Small 4 unranked
BenchAlign evidence: MiniMax M3 supported; Mistral Small 4 estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and Mistral Small 4 share 17 comparable benchmark results. 0 of 8 categories are comparable. 28 results are unique to MiniMax M3; 0 to Mistral Small 4.
Updated July 16, 2026- Shared results
- 17
- MiniMax M3 only
- 28
- Mistral Small 4 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiniMax M3 and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 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.
MiniMax M3 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4. MiniMax M3 has the larger context window at 1M, compared with 256K for Mistral Small 4.
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 Small 4 |
|---|---|---|---|
| Agentic | MiniMax M372.3 | MarginNo overlap | Mistral Small 4Not measured |
| Coding | MiniMax M372.2 | MarginNo overlap | Mistral Small 4Not measured |
| Math | MiniMax M385.7 | MarginNo overlap | Mistral Small 4Not measured |
| Multimodal | MiniMax M364.9 | MarginNo overlap | Mistral Small 4Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | Mistral Small 4$0.15 input / $0.6 output | Mistral Small 4 has the lower combined listed price. |
| Generation speedtokens per second | MiniMax M3Not available | Mistral Small 4175 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | Mistral Small 40.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | Mistral Small 4256K | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | MiniMax M3 | Mistral Small 4 | 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% | 4.7% | MiniMax M3 leads |
| τ²-bench resultsSource | 88.9% | 41.2% | MiniMax M3 leads |
| GDPval-AASource | 44.7% | 4.4% | MiniMax M3 leads |
| GDPval-AASource | 1395 | 588 | MiniMax M3 leads |
| 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 Small 4 | 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% | 26.6% | MiniMax M3 leads |
| Terminal-Bench HardSource | 42.4% | 17.4% | MiniMax M3 leads |
| AA-SciCodeSource | 45.4% | 38.0% | 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 Small 4 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | 19.6% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 92.9% | 76.9% | MiniMax M3 leads |
| AA-HLESource | 37.1% | 9.5% | MiniMax M3 leads |
| AA-Omniscience IndexSource | 1.4% | -29.9% | MiniMax M3 leads |
| AA-Omniscience AccuracySource | 15.0% | 22.1% | Mistral Small 4 leads |
| AA-Omniscience Hallucination RateSource | 16.1% | 66.8% | MiniMax M3 leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math1 benchmarks
| Benchmark | MiniMax M3 | Mistral Small 4 | Result |
|---|---|---|---|
| USAMO 2026Source | 85.7% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | MiniMax M3 | Mistral Small 4 | 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 | — | Not comparable |
| AA-MMMU-ProSource | 78.6% | 56.8% | MiniMax M3 leads |
Inst. Following1 benchmarks
| Benchmark | MiniMax M3 | Mistral Small 4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 82.9% | 48.2% | MiniMax M3 leads |
Frequently Asked Questions (3)
Can I compare MiniMax M3 and Mistral Small 4 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 Small 4 today?
MiniMax M3: $0.30 input / $1.20 output per 1M tokens Mistral Small 4: $0.15 input / $0.60 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.
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.