Model comparison
Claude Opus 4.6 vs MiniMax-M3
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 43.8 on the Noometry Index. MiniMax-M3 costs 19× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.
Last verified . 37 shared benchmarks.
Summary
- They share 37 benchmarks with published results for both. Claude Opus 4.6 scores higher in 9 categories and MiniMax-M3 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Opus 4.6 leads 51.1 to 22.6.
- The biggest single-benchmark swing is GBAEval: 44.1% for Claude Opus 4.6 and 0.9% for MiniMax-M3.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.6 | MiniMax-M3 | |
|---|---|---|
| Provider | Anthropic | MiniMax |
| Noometry Index | 58.2 | 43.8 |
| Released | 2026-02-04 | 2026-06-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 1M |
| Max output | 128K | 512K |
| Input $ / M tokens | $5 | $0.30 |
| Output $ / M tokens | $25 | $1.20 |
| Results tracked | 68 | 41 |
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Category by category
Coding Claude Opus 4.6 leads
Claude Opus 4.6: 57.2 (#20), MiniMax-M3: 41.8 (#118)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| FrontierCode | 26.6% | 14.7% |
| LMArena WebDev | 1547 | 1482 |
| LMArena Coding | 1536 | 1469 |
| ALE-Bench | 996.5 | 640.02 |
| SWE-bench Verified | 78.7% | — |
| SWE-bench Verified (bash only) | 75.6% | — |
| SWE-bench Multilingual | 72% | — |
| SciCode | — | 47.1% |
| GSO | 41.2% | — |
| WeirdML | 78% | — |
| AlgoTune | 1.47 | — |
Agentic & Tool Use Claude Opus 4.6 leads
Claude Opus 4.6: 51.1 (#4), MiniMax-M3: 22.6 (#130)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| APEX-Agents | 46.3% | 37.7% |
| GBAEval | 44.1% | 0.9% |
| Vending-Bench 2 | 8,018 | 2,158 |
| Terminal-Bench | 79.8% | — |
| OSWorld 2.0 | — | 4.6% |
| Remote Labor Index | 4.2% | — |
| τ²-bench Banking | 27.3% | — |
| Cybench | 93% | — |
| DeepResearch Bench | 55.3% | — |
| LMArena Search | 1253 | — |
| METR Time Horizons | 78.9% | — |
Reasoning Claude Opus 4.6 leads
Claude Opus 4.6: 57.8 (#23), MiniMax-M3: 30.1 (#87)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| SimpleBench | 67.6% | 45.8% |
| NYT Connections (extended) | 92.1% | 65.1% |
| Chess Puzzles | 17% | 14% |
| LMArena Hard Prompts | 1527 | 1447 |
| Mystery Game Puzzles | 25% | 8% |
| DTBench | 91.2% | 78.9% |
| LMCA | 55.8% | 33.7% |
| Epoch Capabilities Index | 155.24 | 146.95 |
| ForecastBench | 60 | 61.4 |
| ARC-AGI-2 | 69.2% | — |
| Kagi LLM Benchmark | 83.6% | — |
| ARC-AGI-1 | 94% | — |
| CritPt | — | 3.7% |
| EnigmaEval | 7.6% | — |
| Thematic Generalization | 80.6% | — |
| EBR-Bench | 12.7% | — |
| Surface Evolver Bench | — | 55% |
Math Claude Opus 4.6 leads
Claude Opus 4.6: 63.0 (#31), MiniMax-M3: 40.0 (#95)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 71.1% |
| ProofBench | 50% | 18% |
| LMArena Math | 1519 | 1429 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 78.5% | — |
| FrontierMath (Feb 2025 set) | 40.7% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.6 leads
Claude Opus 4.6: 61.9 (#26), MiniMax-M3: 58.4 (#35)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | 90.5% | 90.9% |
| LMArena Expert | 1546 | 1461 |
| Humanity's Last Exam | 34.4% | — |
| SimpleQA Verified | 47% | — |
| Vectara Hallucination Rate | 12.2% | — |
Multimodal MiniMax-M3 leads
Claude Opus 4.6: 37.3 (#74), MiniMax-M3: 40.2 (#51)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| LMArena Vision | 1316 | 1253 |
| LMArena Document | 1507 | 1435 |
| Furniture Assembly | 28.3% | — |
Multilingual Claude Opus 4.6 leads
Claude Opus 4.6: 57.9 (#6), MiniMax-M3: 53.0 (#75)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1489 | 1420 |
| LMArena Chinese | 1551 | 1463 |
| LMArena French | 1513 | 1447 |
| LMArena German | 1502 | 1426 |
| LMArena Japanese | 1484 | 1381 |
| LMArena Korean | 1464 | 1372 |
| LMArena Russian | 1497 | 1428 |
| LMArena Spanish | 1510 | 1432 |
Instruction Following Claude Opus 4.6 leads
Claude Opus 4.6: 79.5 (#4), MiniMax-M3: 75.5 (#62)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1523 | 1433 |
Long Context Claude Opus 4.6 leads
Claude Opus 4.6: 48.1 (#13), MiniMax-M3: 44.2 (#72)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1520 | 1445 |
| CL-bench | 20.7% | — |
| CL-bench Life | 17% | — |
Writing & Preference Claude Opus 4.6 leads
Claude Opus 4.6: 73.5 (#10), MiniMax-M3: 62.1 (#83)
| Benchmark | Claude Opus 4.6 | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1503 | 1433 |
| LMArena Creative Writing | 1505 | 1404 |
| EQ-Bench 4 | 1223 | 1150 |
| LMArena Multi-Turn | 1513 | 1442 |
| EQ-Bench Creative Writing | 1809 | — |
Frequently asked questions
Is Claude Opus 4.6 better than MiniMax-M3?
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 43.8 on the Noometry Index. MiniMax-M3 costs 19× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.6 or MiniMax-M3?
MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Claude Opus 4.6 lists at $5 and $25.
Is Claude Opus 4.6 or MiniMax-M3 better for coding?
Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Claude Opus 4.6 and MiniMax-M3 share?
37 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and MiniMax-M3 has 41.