Model comparison
GPT-5.4 Pro vs MiniMax M3
Head-to-head evidence from 3 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.4 Pro unranked; MiniMax M3 #18
BenchAlign evidence: GPT-5.4 Pro estimated; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 Pro and MiniMax M3 share 3 comparable benchmark results. 3 of 8 categories are comparable. 9 results are unique to GPT-5.4 Pro; 42 to MiniMax M3.
Updated July 16, 2026- Shared results
- 3
- GPT-5.4 Pro only
- 9
- MiniMax M3 only
- 42
- Comparable categories
- 3 / 8
Pick GPT-5.4 Pro 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 3 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 83 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 64.9. The single biggest benchmark swing on the page is MMMU-Pro, 94% to 78.1%. MiniMax M3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 150.0x on output cost alone. GPT-5.4 Pro 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for MiniMax M3.
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-5.4 Pro | Δ | MiniMax M3 |
|---|---|---|---|
| Math | GPT-5.4 Pro46.9 | Margin→ 38.8 | MiniMax M385.7 |
| Multimodal | GPT-5.4 Pro94.0 | Margin← 29.1 | MiniMax M364.9 |
| Agentic | GPT-5.4 Pro89.3 | Margin← 17.0 | MiniMax M372.3 |
| Coding | GPT-5.4 ProNot measured | MarginNo overlap | MiniMax M372.2 |
| Reasoning | GPT-5.4 Pro83.3 | MarginNo overlap | MiniMax M3Not measured |
| Knowledge | GPT-5.4 Pro48.4 | MarginNo overlap | MiniMax M3Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 94%B 78.1%Winner: GPT-5.4 ProΔ 15.9MMMU-Pro: GPT-5.4 Pro scored 94%; MiniMax M3 scored 78.1%. GPT-5.4 Pro wins this benchmark. - Source ↗
BrowseComp
AgenticA 89.3%B 83.5%Winner: GPT-5.4 ProΔ 5.8BrowseComp: GPT-5.4 Pro scored 89.3%; MiniMax M3 scored 83.5%. GPT-5.4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 Pro | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 Pro$30 input / $180 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.4 Pro74 tok/s | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 Pro151.79 s | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 Pro1.05M | MiniMax M31M | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins16 benchmarks
| Benchmark | GPT-5.4 Pro | MiniMax M3 | Result |
|---|---|---|---|
| BrowseCompSource | 89.3% | 83.5% | GPT-5.4 Pro leads |
| Terminal-Bench 2.0Source | — | 66% | 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% | Not comparable |
| 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 | GPT-5.4 Pro | MiniMax M3 | 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% | Not comparable |
| AA-SciCodeSource | — | 45.4% | 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 |
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | GPT-5.4 Pro | MiniMax M3 | Result |
|---|---|---|---|
| HLESource | 58.7% | — | Not comparable |
| FrontierScienceSource | 36.7% | — | Not comparable |
| FrontierScience ResearchSource | 36.7% | — | Not comparable |
| HLE w/o toolsSource | 42.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 44.4% | Not comparable |
| AA-GPQA DiamondSource | — | 92.9% | Not comparable |
| AA-HLESource | — | 37.1% | Not comparable |
| AA-Omniscience IndexSource | — | 1.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 15.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 16.1% | Not comparable |
| AA Openness IndexSource | — | 33.3% | Not comparable |
MathMiniMax M3 wins5 benchmarks
MultimodalGPT-5.4 Pro wins7 benchmarks
| Benchmark | GPT-5.4 Pro | MiniMax M3 | Result |
|---|---|---|---|
| MMMU-ProSource | 94% | 78.1% | GPT-5.4 Pro leads |
| OfficeQA ProSource | — | 45.1% | Not comparable |
| OmniDocBench 1.5Source | — | 91.6% | 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% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 Pro | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 82.9% | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.4 Pro or MiniMax M3?
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 83 to 70. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94% and 78.1%.
Which is better for math, GPT-5.4 Pro or MiniMax M3?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 46.9. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.4 Pro or MiniMax M3?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 72.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 Pro or MiniMax M3?
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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