Model comparison
Claude Fable 5 vs MiniMax M2.7
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); MiniMax M2.7 #36 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and MiniMax M2.7 share 18 comparable benchmark results. 2 of 8 categories are comparable. 16 results are unique to Claude Fable 5; 17 to MiniMax M2.7.
Updated July 23, 2026- Shared results
- 18
- Claude Fable 5 only
- 16
- MiniMax M2.7 only
- 17
- Comparable categories
- 2 / 8
Pick Claude Fable 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 18 shared benchmark results across 6 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 Fable 5 is clearly ahead on the BenchAlign aggregate, 83.68 to 64.11. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in coding, where it averages 89.2 against 53.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 84.3% to 57%.
Claude Fable 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 Fable 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 Fable 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 Fable 5 | Δ | MiniMax M2.7 |
|---|---|---|---|
| Coding | Claude Fable 589.2 | Margin← 35.9 | MiniMax M2.753.3 |
| Agentic | Claude Fable 584.6 | Margin← 27.6 | MiniMax M2.757.0 |
| Multimodal | Claude Fable 557.9 | 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 84.3%B 57%Winner: Claude Fable 5Δ 27.3Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; MiniMax M2.7 scored 57%. Claude Fable 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 80%B 56.2%Winner: Claude Fable 5Δ 23.8SWE-bench Pro: Claude Fable 5 scored 80%; MiniMax M2.7 scored 56.2%. Claude Fable 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | MiniMax M2.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 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 Fable 5Not available | MiniMax M2.745 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | MiniMax M2.72.53 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | MiniMax M2.7200K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Fable 5 wins19 benchmarks
| Benchmark | Claude Fable 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | 57% | Claude Fable 5 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 1158 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 25.6% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | 84.8% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | 32.9% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | 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 |
| APEX-Agents-AASource | — | 10.6% | Not comparable |
| Gert LabsSource | — | 40.40% | Not comparable |
CodingClaude Fable 5 wins17 benchmarks
| Benchmark | Claude Fable 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | — | Not comparable |
| SWE-bench ProSource | 80% | 56.2% | Claude Fable 5 leads |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | 52.6% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 47.0% | Claude Fable 5 leads |
| 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 |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Fable 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 38.1% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 87.4% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 28.1% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | 0.7% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 26.1% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 34.4% | MiniMax M2.7 leads |
| GPQA-DSource | — | 87.0% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 80.8% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Fable 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 80.0% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | MiniMax M2.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 75.7% | MiniMax M2.7 leads |
Frequently Asked Questions (3)
Which is better, Claude Fable 5 or MiniMax M2.7?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 64.11. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 84.3% and 57%.
Which is better for coding, Claude Fable 5 or MiniMax M2.7?
Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 53.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Fable 5 or MiniMax M2.7?
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 84.6 versus 57. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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