Model comparison
Llama 4 Maverick vs Qwen3.7 Max
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Maverick #191 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Maverick and Qwen3.7 Max share 16 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Llama 4 Maverick; 42 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 16
- Llama 4 Maverick only
- 2
- Qwen3.7 Max only
- 42
- Comparable categories
- 1 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 16 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
Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 0.7.
Qwen3.7 Max is the reasoning model in the pair, while Llama 4 Maverick 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.
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 | Llama 4 Maverick | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | Llama 4 Maverick0.7 | Margin→ 96.4 | Qwen3.7 Max97.1 |
| Agentic | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Multilingual | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | Llama 4 MaverickNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Maverick | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Maverick$0 input / $0 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Llama 4 Maverick121 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 Maverick0.95 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Maverick1M | Qwen3.7 Max1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Llama 4 Maverick | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.3% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 17.8% | 94.7% | Qwen3.7 Max leads |
| GDPval-AASource | 0.0% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | -16 | 1273 | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding9 benchmarks
| Benchmark | Llama 4 Maverick | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Coding IndexSource | 16.3% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 33.1% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Llama 4 Maverick | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.3% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 67.1% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 4.8% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -41.8% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 24.3% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 87.3% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
MathQwen3.7 Max wins4 benchmarks
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Llama 4 Maverick or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 23.49.
Which is better for math, Llama 4 Maverick or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 0.7. Llama 4 Maverick stays close enough that the answer can still flip depending on your workload.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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