Model comparison
GPT-5.4 vs MiniMax M3
Head-to-head evidence from 27 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.4 #10; MiniMax M3 #18
BenchAlign evidence: GPT-5.4 supported; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and MiniMax M3 share 27 comparable benchmark results. 4 of 8 categories are comparable. 27 results are unique to GPT-5.4; 18 to MiniMax M3.
Updated July 16, 2026- Shared results
- 27
- GPT-5.4 only
- 27
- MiniMax M3 only
- 18
- Comparable categories
- 4 / 8
Pick GPT-5.4 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 27 shared benchmark results across 6 evidence categories; 4 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 is clearly ahead on the provisional aggregate, 86 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in multimodal & grounded, where it averages 73.2 against 64.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 66%. 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 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 12.5x on output cost alone. GPT-5.4 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 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 | Δ | MiniMax M3 |
|---|---|---|---|
| Math | GPT-5.442.5 | Margin→ 43.2 | MiniMax M385.7 |
| Coding | GPT-5.457.7 | Margin→ 14.5 | MiniMax M372.2 |
| Multimodal | GPT-5.473.2 | Margin← 8.3 | MiniMax M364.9 |
| Agentic | GPT-5.477.2 | Margin← 4.9 | MiniMax M372.3 |
| Knowledge | GPT-5.457.6 | MarginNo overlap | MiniMax M3Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 75.1%B 66%Winner: GPT-5.4Δ 9.1Terminal-Bench 2.0: GPT-5.4 scored 75.1%; MiniMax M3 scored 66%. GPT-5.4 wins this benchmark. - Source ↗
OfficeQA Pro
MultimodalA 53.2%B 45.1%Winner: GPT-5.4Δ 8.1OfficeQA Pro: GPT-5.4 scored 53.2%; MiniMax M3 scored 45.1%. GPT-5.4 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 75%B 70.1%Winner: GPT-5.4Δ 4.9OSWorld-Verified: GPT-5.4 scored 75%; MiniMax M3 scored 70.1%. GPT-5.4 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 81.2%B 78.1%Winner: GPT-5.4Δ 3.1MMMU-Pro: GPT-5.4 scored 81.2%; MiniMax M3 scored 78.1%. GPT-5.4 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.7%B 59%Winner: MiniMax M3Δ 1.3SWE-bench Pro: GPT-5.4 scored 57.7%; MiniMax M3 scored 59%. MiniMax M3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.474 tok/s | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | MiniMax M31M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 wins23 benchmarks
| Benchmark | GPT-5.4 | MiniMax M3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | 66% | GPT-5.4 leads |
| CyberGymSource | 79.0% | — | Not comparable |
| BrowseCompSource | 82.7% | 83.5% | MiniMax M3 leads |
| OSWorld-VerifiedSource | 75% | 70.1% | GPT-5.4 leads |
| MCP AtlasSource | 70.6% | 74.2% | MiniMax M3 leads |
| ToolathlonSource | 54.6% | — | Not comparable |
| τ²-bench resultsSource | 87.1% | 88.9% | MiniMax M3 leads |
| Claw-EvalSource | 60.3% | 74.5% | MiniMax M3 leads |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 35.4% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 44.7% | Tie |
| GDPval-AASource | 1395 | 1395 | Tie |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | 19.8% | MiniMax M3 leads |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | — | Not comparable |
| GDPval rubricsSource | — | 74.7% | Not comparable |
| BankerToolBenchSource | — | 76.1% | 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 |
CodingMiniMax M3 wins14 benchmarks
| Benchmark | GPT-5.4 | MiniMax M3 | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | — | Not comparable |
| SWE-bench ProSource | 57.7% | 59% | MiniMax M3 leads |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | — | Not comparable |
| AA Coding IndexSource | 71.0% | 58.6% | GPT-5.4 leads |
| Terminal-Bench HardSource | 57.6% | 42.4% | GPT-5.4 leads |
| AA-SciCodeSource | 56.6% | 45.4% | GPT-5.4 leads |
| SWE-bench VerifiedSource | — | 80.5% | 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
Knowledge14 benchmarks
| Benchmark | GPT-5.4 | MiniMax M3 | Result |
|---|---|---|---|
| GPQASource | 92.8% | — | Not comparable |
| HLESource | 52.1% | — | Not comparable |
| HLE w/o toolsSource | 39.8% | — | Not comparable |
| GPQA-DSource | 92.8% | — | Not comparable |
| HealthBench HardSource | 40.1% | — | Not comparable |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 44.4% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 41.6% | 37.1% | GPT-5.4 leads |
| AA-Omniscience IndexSource | 5.7% | 1.4% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 15.0% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 16.1% | MiniMax M3 leads |
| HealthBench ProfessionalSource | 48.1% | — | Not comparable |
| AA Openness IndexSource | — | 33.3% | Not comparable |
MathMiniMax M3 wins3 benchmarks
MultimodalGPT-5.4 wins15 benchmarks
| Benchmark | GPT-5.4 | MiniMax M3 | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | 78.1% | GPT-5.4 leads |
| OfficeQA ProSource | 53.2% | 45.1% | GPT-5.4 leads |
| MMMU-Pro w/ PythonSource | 82.1% | — | Not comparable |
| CharXivSource | 82.8% | — | Not comparable |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| GDPval-AASource | 1672 | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | 78.6% | MiniMax M3 leads |
| Design Arena WebsiteSource | 1254 | 1294 | MiniMax M3 leads |
| OmniDocBench 1.5Source | — | 91.6% | Not comparable |
| VideoMMMUSource | — | 84.6% | Not comparable |
| Video-MME (with subtitle)Source | — | 85.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (5)
Which is better, GPT-5.4 or MiniMax M3?
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 86 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 66%.
Which is better for coding, GPT-5.4 or MiniMax M3?
MiniMax M3 has the edge for coding in this comparison, averaging 72.2 versus 57.7. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 or MiniMax M3?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 42.5. GPT-5.4 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.4 or MiniMax M3?
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77.2 versus 72.3. Inside this category, Claw-Eval is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 or MiniMax M3?
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 73.2 versus 64.9. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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