Model comparison
Claude Sonnet 4.6 vs Llama 4 Maverick
Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Llama 4 Maverick share 14 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Claude Sonnet 4.6; 4 to Llama 4 Maverick.
Updated July 20, 2026- Shared results
- 14
- Claude Sonnet 4.6 only
- 19
- Llama 4 Maverick only
- 4
- Comparable categories
- 1 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 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
Claude Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in mathematics, where it averages 26.4 against 0.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 32.400% to 0.690%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone. Llama 4 Maverick gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
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 Sonnet 4.6 | Δ | Llama 4 Maverick |
|---|---|---|---|
| Math | Claude Sonnet 4.626.4 | Margin← 25.7 | Llama 4 Maverick0.7 |
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Llama 4 MaverickNot measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Llama 4 MaverickNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Llama 4 MaverickNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 32.400%B 0.690%Winner: Claude Sonnet 4.6Δ 31.7FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.6 scored 32.400%; Llama 4 Maverick scored 0.690%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Llama 4 Maverick121 tok/s | Llama 4 Maverick has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Llama 4 Maverick0.95 s | Llama 4 Maverick reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Llama 4 Maverick1M | Llama 4 Maverick lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Claude Sonnet 4.6 | Llama 4 Maverick | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 17.8% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| AA Agentic IndexSource | — | 1.3% | Not comparable |
| GDPval-AASource | — | 0.0% | Not comparable |
| GDPval-AASource | — | -16 | Not comparable |
Coding8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Llama 4 Maverick | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 33.1% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| AA Coding IndexSource | — | 16.3% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Llama 4 Maverick | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 14.3% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 67.1% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 4.8% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -41.8% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 24.3% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 87.3% | Claude Sonnet 4.6 leads |
MathClaude Sonnet 4.6 wins2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 43.0% | Llama 4 Maverick leads |
Frequently Asked Questions (2)
Which is better, Claude Sonnet 4.6 or Llama 4 Maverick?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 23.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 32.400% and 0.690%.
Which is better for math, Claude Sonnet 4.6 or Llama 4 Maverick?
Claude Sonnet 4.6 has the edge for math in this comparison, averaging 26.4 versus 0.7. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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