Model comparison
GPT-5.1 vs MiniMax M3
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.1 unranked; MiniMax M3 #18
BenchAlign evidence: GPT-5.1 supported; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1 and MiniMax M3 share 18 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to GPT-5.1; 27 to MiniMax M3.
Updated July 16, 2026- Shared results
- 18
- GPT-5.1 only
- 4
- MiniMax M3 only
- 27
- Comparable categories
- 1 / 8
Pick GPT-5.1 if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.1 finishes one point ahead on BenchLM's provisional leaderboard, 71 to 70. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.1 is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 8.3x on output cost alone. GPT-5.1 is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiniMax M3 gives you the larger context window at 1M, compared with 200K for GPT-5.1.
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 | GPT-5.1 | Δ | MiniMax M3 |
|---|---|---|---|
| Math | GPT-5.126.4 | Margin→ 59.3 | MiniMax M385.7 |
| Agentic | GPT-5.1Not measured | MarginNo overlap | MiniMax M372.3 |
| Coding | GPT-5.1Not measured | MarginNo overlap | MiniMax M372.2 |
| Multimodal | GPT-5.1Not measured | MarginNo overlap | MiniMax M364.9 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1 | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1$1.25 input / $10 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.1111 tok/s | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.157.47 s | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1200K | MiniMax M31M | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.1 | MiniMax M3 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 21.0% | 35.4% | MiniMax M3 leads |
| τ²-bench resultsSource | 81.9% | 88.9% | MiniMax M3 leads |
| Gert LabsSource | 41.24% | — | Not comparable |
| GDPval-AASource | 24.4% | 44.7% | MiniMax M3 leads |
| GDPval-AASource | 987 | 1395 | MiniMax M3 leads |
| 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 |
| 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 |
Coding12 benchmarks
| Benchmark | GPT-5.1 | MiniMax M3 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 24.61% | — | Not comparable |
| AA Coding IndexSource | 49.4% | 58.6% | MiniMax M3 leads |
| Terminal-Bench HardSource | 45.5% | 42.4% | GPT-5.1 leads |
| AA-SciCodeSource | 43.3% | 45.4% | MiniMax M3 leads |
| 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 |
| 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 | GPT-5.1 | MiniMax M3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 36.9% | 44.4% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 87.3% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 26.5% | 37.1% | MiniMax M3 leads |
| AA-Omniscience IndexSource | 5.6% | 1.4% | GPT-5.1 leads |
| AA-Omniscience AccuracySource | 37.6% | 15.0% | GPT-5.1 leads |
| AA-Omniscience Hallucination RateSource | 51.3% | 16.1% | MiniMax M3 leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
MathMiniMax M3 wins3 benchmarks
Multimodal7 benchmarks
| Benchmark | GPT-5.1 | MiniMax M3 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 75.5% | 78.6% | MiniMax M3 leads |
| Design Arena WebsiteSource | 1222 | 1294 | MiniMax M3 leads |
| 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 |
Inst. Following1 benchmarks
| Benchmark | GPT-5.1 | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.9% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (2)
Which is better, GPT-5.1 or MiniMax M3?
GPT-5.1 is ahead on BenchLM's provisional leaderboard, 71 to 70.
Which is better for math, GPT-5.1 or MiniMax M3?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 26.4. GPT-5.1 stays close enough that the answer can still flip depending on your workload.
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