Model comparison
Claude Sonnet 5 vs Llama 4 Maverick
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Llama 4 Maverick share 15 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Claude Sonnet 5; 3 to Llama 4 Maverick.
Updated July 23, 2026- Shared results
- 15
- Claude Sonnet 5 only
- 21
- Llama 4 Maverick only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 5 and Llama 4 Maverick is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Sonnet 5 is priced at $2.00 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick.
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 5 | Δ | Llama 4 Maverick |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | Llama 4 MaverickNot measured |
| Coding | Claude Sonnet 576.7 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | Claude Sonnet 557.4 | MarginNo overlap | Llama 4 MaverickNot measured |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | Llama 4 Maverick0.7 |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | Llama 4 MaverickNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Llama 4 Maverick121 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Llama 4 Maverick0.95 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Llama 4 Maverick1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Claude Sonnet 5 | Llama 4 Maverick | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | -16 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 1.3% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 0.0% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| τ²-bench resultsSource | — | 17.8% | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Sonnet 5 | Llama 4 Maverick | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 16.3% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 33.1% | Claude Sonnet 5 leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Sonnet 5 | Llama 4 Maverick | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 14.3% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 67.1% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 4.8% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -41.8% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 24.3% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 87.3% | Claude Sonnet 5 leads |
Math1 benchmarks
| Benchmark | Claude Sonnet 5 | Llama 4 Maverick | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 0.690% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 43.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 5 and Llama 4 Maverick on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Sonnet 5 and Llama 4 Maverick today?
Claude Sonnet 5: $2.00 input / $10.00 output per 1M tokens Llama 4 Maverick: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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