Model comparison
GPT-5.6 Sol vs Llama 4 Maverick
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Llama 4 Maverick share 17 comparable benchmark results. 1 of 8 categories are comparable. 29 results are unique to GPT-5.6 Sol; 1 to Llama 4 Maverick.
Updated July 23, 2026- Shared results
- 17
- GPT-5.6 Sol only
- 29
- Llama 4 Maverick only
- 1
- Comparable categories
- 1 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. Llama 4 Maverick 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 17 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
GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.6 Sol's sharpest advantage is in mathematics, where it averages 87.5 against 0.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 89.000% to 0.690%.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 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. GPT-5.6 Sol 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 | GPT-5.6 Sol | Δ | Llama 4 Maverick |
|---|---|---|---|
| Math | GPT-5.6 Sol87.5 | Margin← 86.8 | Llama 4 Maverick0.7 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | Llama 4 MaverickNot measured |
| Coding | GPT-5.6 Sol64.6 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | Llama 4 MaverickNot measured |
| Multimodal | GPT-5.6 Sol83.0 | 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 89.000%B 0.690%Winner: GPT-5.6 SolΔ 88.3FrontierMath v2 (Tiers 1-3): GPT-5.6 Sol scored 89.000%; Llama 4 Maverick scored 0.690%. GPT-5.6 Sol wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Llama 4 Maverick121 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Llama 4 Maverick0.95 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Llama 4 Maverick1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.6 Sol | Llama 4 Maverick | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| BrowseCompSource | 92.2% | — | Not comparable |
| OSWorld 2.0Source | 62.6% | — | Not comparable |
| CyberGymSource | 84.5% | — | Not comparable |
| ExploitGymSource | 33.7% | — | Not comparable |
| ToolathlonSource | 58% | — | Not comparable |
| AA Agentic IndexSource | 54.0% | 1.3% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 85.1% | 17.8% | GPT-5.6 Sol leads |
| GDPval-AASource | 61.8% | 0.0% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | -16 | GPT-5.6 Sol leads |
| AA BriefcaseSource | 1501 | — | Not comparable |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| AA Harvey LABSource | 87.2% | — | Not comparable |
| terminalBenchHardSource | 65.9% | — | Not comparable |
| aaTerminalBench21Source | 88% | — | Not comparable |
Coding8 benchmarks
| Benchmark | GPT-5.6 Sol | Llama 4 Maverick | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| deepSweSource | 72.7% | — | Not comparable |
| FrontierCode 1.1 ExtendedSource | 60.6% | — | Not comparable |
| cursorBench32Source | 67.2% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 77.4% | 16.3% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 33.1% | GPT-5.6 Sol leads |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.6 Sol | Llama 4 Maverick | Result |
|---|---|---|---|
| GPQASource | 94.6% | — | Not comparable |
| GPQA-DSource | 94.6% | — | Not comparable |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 14.3% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 67.1% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 4.8% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | -41.8% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 24.3% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 87.3% | Llama 4 Maverick leads |
MathGPT-5.6 Sol wins3 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | 43.0% | GPT-5.6 Sol leads |
Frequently Asked Questions (2)
Which is better, GPT-5.6 Sol or Llama 4 Maverick?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 23.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 89.000% and 0.690%.
Which is better for math, GPT-5.6 Sol or Llama 4 Maverick?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 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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