Model comparison
Claude Mythos 5 vs MiniMax M2.7
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Mythos 5 #1 (Supported); MiniMax M2.7 #36 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Mythos 5 and MiniMax M2.7 share 2 comparable benchmark results. 2 of 8 categories are comparable. 13 results are unique to Claude Mythos 5; 33 to MiniMax M2.7.
Updated July 23, 2026- Shared results
- 2
- Claude Mythos 5 only
- 13
- MiniMax M2.7 only
- 33
- Comparable categories
- 2 / 8
Pick Claude Mythos 5 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Mythos 5 is clearly ahead on the BenchAlign aggregate, 83.93 to 64.11. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Mythos 5's sharpest advantage is in coding, where it averages 89.7 against 53.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 88% to 57%.
Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 41.7x on output cost alone. Claude Mythos 5 is the reasoning model in the pair, while MiniMax M2.7 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. Claude Mythos 5 gives you the larger context window at 1M+, compared with 200K for MiniMax M2.7.
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 | Claude Mythos 5 | Δ | MiniMax M2.7 |
|---|---|---|---|
| Coding | Claude Mythos 589.7 | Margin← 36.4 | MiniMax M2.753.3 |
| Agentic | Claude Mythos 587.0 | Margin← 30.0 | MiniMax M2.757.0 |
| Knowledge | Claude Mythos 568.5 | MarginNo overlap | MiniMax M2.7Not measured |
| Math | Claude Mythos 597.6 | MarginNo overlap | MiniMax M2.7Not measured |
| Multimodal | Claude Mythos 593.5 | MarginNo overlap | MiniMax M2.7Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 88%B 57%Winner: Claude Mythos 5Δ 31Terminal-Bench 2.0: Claude Mythos 5 scored 88%; MiniMax M2.7 scored 57%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 80.3%B 56.2%Winner: Claude Mythos 5Δ 24.1SWE-bench Pro: Claude Mythos 5 scored 80.3%; MiniMax M2.7 scored 56.2%. Claude Mythos 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Mythos 5 | MiniMax M2.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Mythos 5$10 input / $50 output | MiniMax M2.7$0.3 input / $1.2 output | MiniMax M2.7 has the lower combined listed price. |
| Generation speedtokens per second | Claude Mythos 5Not available | MiniMax M2.745 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Mythos 5Not available | MiniMax M2.72.53 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Mythos 51M+ | MiniMax M2.7200K | Claude Mythos 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Mythos 5 wins14 benchmarks
| Benchmark | Claude Mythos 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 88% | 57% | Claude Mythos 5 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| BrowseCompSource | 88% | — | Not comparable |
| ExploitGymSource | 17.5% | — | Not comparable |
| τ²-bench resultsSource | — | 84.8% | Not comparable |
| ToolathlonSource | — | 46.3% | Not comparable |
| MLE-Bench LiteSource | — | 66.6% | Not comparable |
| MM-ClawBenchSource | — | 62.7% | Not comparable |
| Claw-EvalSource | — | 48.7% | Not comparable |
| AA Agentic IndexSource | — | 25.6% | Not comparable |
| APEX-Agents-AASource | — | 10.6% | Not comparable |
| GDPval-AASource | — | 32.9% | Not comparable |
| GDPval-AASource | — | 1158 | Not comparable |
| Gert LabsSource | — | 40.40% | Not comparable |
CodingClaude Mythos 5 wins13 benchmarks
| Benchmark | Claude Mythos 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95.5% | — | Not comparable |
| SWE-bench ProSource | 80.3% | 56.2% | Claude Mythos 5 leads |
| Terminal-Bench 2.0Source | 88.0% | — | Not comparable |
| SWE-bench Verified*Source | — | 75.4% | Not comparable |
| SWE-RebenchSource | — | 51.9% | Not comparable |
| SWE MultilingualSource | — | 76.5% | Not comparable |
| Multi-SWE BenchSource | — | 52.7% | Not comparable |
| VIBE-ProSource | — | 55.6% | Not comparable |
| NL2RepoSource | — | 39.8% | Not comparable |
| Vibe Code BenchSource | — | 27.04% | Not comparable |
| React Native EvalsSource | — | 71.4% | Not comparable |
| AA Coding IndexSource | — | 52.6% | Not comparable |
| AA-SciCodeSource | — | 47.0% | Not comparable |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Mythos 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| GPQASource | 94.1% | — | Not comparable |
| HLESource | 64.5% | — | Not comparable |
| HLE w/o toolsSource | 59% | — | Not comparable |
| GPQA-DSource | — | 87.0% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 80.8% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 38.1% | Not comparable |
| AA-GPQA DiamondSource | — | 87.4% | Not comparable |
| AA-HLESource | — | 28.1% | Not comparable |
| AA-Omniscience IndexSource | — | 0.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 34.4% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Mythos 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| SWE MultilingualSource | 92.2% | — | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Mythos 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.7% | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Mythos 5 or MiniMax M2.7?
Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 64.11. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 88% and 57%.
Which is better for coding, Claude Mythos 5 or MiniMax M2.7?
Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 53.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Mythos 5 or MiniMax M2.7?
Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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