Model comparison
Command A+ 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: Command A+ unranked; MiniMax M3 #18
BenchAlign evidence: Command A+ estimated; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Command A+ and MiniMax M3 share 18 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Command A+; 27 to MiniMax M3.
Updated July 16, 2026- Shared results
- 18
- Command A+ only
- 2
- MiniMax M3 only
- 27
- Comparable categories
- 1 / 8
Pick MiniMax M3 if you want the stronger benchmark profile. Command A+ only becomes the better choice if you want the stronger reasoning-first profile.
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
MiniMax M3 is clearly ahead on the provisional aggregate, 70 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in multimodal & grounded, where it averages 64.9 against 59.3. The single biggest benchmark swing on the page is MMMU-Pro, 63% to 78.1%.
Command A+ is also the more expensive model on tokens at $2.50 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. Command A+ 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 128K for Command A+.
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 | Command A+ | Δ | MiniMax M3 |
|---|---|---|---|
| Multimodal | Command A+59.3 | Margin→ 5.6 | MiniMax M364.9 |
| Agentic | Command A+Not measured | MarginNo overlap | MiniMax M372.3 |
| Coding | Command A+Not measured | MarginNo overlap | MiniMax M372.2 |
| Math | Command A+Not measured | MarginNo overlap | MiniMax M385.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 63%B 78.1%Winner: MiniMax M3Δ 15.1MMMU-Pro: Command A+ scored 63%; MiniMax M3 scored 78.1%. MiniMax M3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Command A+ | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Command A+$2.5 input / $10 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | Command A+272 tok/s | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Command A+0.25 s | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Command A+128K | MiniMax M31M | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 80.7% | 88.9% | MiniMax M3 leads |
| AA Agentic IndexSource | 9.2% | 35.4% | MiniMax M3 leads |
| GDPval-AASource | 10.7% | 44.7% | MiniMax M3 leads |
| GDPval-AASource | 714 | 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 |
Coding11 benchmarks
| Benchmark | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| Terminal-Bench HardSource | 25.0% | 42.4% | MiniMax M3 leads |
| AA Coding IndexSource | 27.9% | 58.6% | MiniMax M3 leads |
| AA-SciCodeSource | 37.8% | 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 | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 22.5% | 44.4% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 76.1% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 11.4% | 37.1% | MiniMax M3 leads |
| AA-Omniscience IndexSource | -4.0% | 1.4% | MiniMax M3 leads |
| AA-Omniscience AccuracySource | 8.9% | 15.0% | MiniMax M3 leads |
| AA-Omniscience Hallucination RateSource | 14.1% | 16.1% | Command A+ leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math1 benchmarks
| Benchmark | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| USAMO 2026Source | — | 85.7% | Not comparable |
MultimodalMiniMax M3 wins9 benchmarks
| Benchmark | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| MMMUSource | 75.1% | — | Not comparable |
| MMMU-ProSource | 63% | 78.1% | MiniMax M3 leads |
| CharXivSource | 52.7% | — | Not comparable |
| AA-MMMU-ProSource | 63.2% | 78.6% | MiniMax M3 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 |
Inst. Following1 benchmarks
| Benchmark | Command A+ | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (2)
Which is better, Command A+ or MiniMax M3?
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 70 to 43. The biggest single separator in this matchup is MMMU-Pro, where the scores are 63% and 78.1%.
Which is better for multimodal and grounded tasks, Command A+ or MiniMax M3?
MiniMax M3 has the edge for multimodal and grounded tasks in this comparison, averaging 64.9 versus 59.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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