Model comparison
GPT-5.4 vs Llama 4 Maverick
Head-to-head evidence from 18 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and Llama 4 Maverick share 18 comparable benchmark results. 1 of 8 categories are comparable. 34 results are unique to GPT-5.4; 0 to Llama 4 Maverick.
Updated July 20, 2026- Shared results
- 18
- GPT-5.4 only
- 34
- Llama 4 Maverick only
- 0
- Comparable categories
- 1 / 8
Pick GPT-5.4 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 18 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-5.4 is clearly ahead on the BenchAlign aggregate, 74.24 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in mathematics, where it averages 42.5 against 0.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 47.600% to 0.690%.
GPT-5.4 is also the more expensive model on tokens at $2.50 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. GPT-5.4 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. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M 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 | GPT-5.4 | Δ | Llama 4 Maverick |
|---|---|---|---|
| Math | GPT-5.442.5 | Margin← 41.8 | Llama 4 Maverick0.7 |
| Agentic | GPT-5.477.2 | MarginNo overlap | Llama 4 MaverickNot measured |
| Coding | GPT-5.457.7 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | GPT-5.457.6 | MarginNo overlap | Llama 4 MaverickNot measured |
| Multimodal | GPT-5.473.2 | 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 47.600%B 0.690%Winner: GPT-5.4Δ 46.9FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; Llama 4 Maverick scored 0.690%. GPT-5.4 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.474 tok/s | Llama 4 Maverick121 tok/s | Llama 4 Maverick has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | Llama 4 Maverick0.95 s | Llama 4 Maverick reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5.41.05M | Llama 4 Maverick1M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Maverick | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | — | Not comparable |
| CyberGymSource | 79.0% | — | Not comparable |
| BrowseCompSource | 82.7% | — | Not comparable |
| OSWorld-VerifiedSource | 75% | — | Not comparable |
| MCP AtlasSource | 70.6% | — | Not comparable |
| ToolathlonSource | 54.6% | — | Not comparable |
| τ²-bench resultsSource | 87.1% | 17.8% | GPT-5.4 leads |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 1.3% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 0.0% | GPT-5.4 leads |
| GDPval-AASource | 1395 | -16 | GPT-5.4 leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | — | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Maverick | Result |
|---|---|---|---|
| GPQASource | 92.8% | — | Not comparable |
| HLESource | 52.1% | — | Not comparable |
| HLE w/o toolsSource | 39.8% | — | Not comparable |
| GPQA-DSource | 92.8% | — | Not comparable |
| HealthBench HardSource | 40.1% | — | Not comparable |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 14.3% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 67.1% | GPT-5.4 leads |
| AA-HLESource | 41.6% | 4.8% | GPT-5.4 leads |
| AA-Omniscience IndexSource | 5.7% | -41.8% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 24.3% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 87.3% | Llama 4 Maverick leads |
| HealthBench ProfessionalSource | 48.1% | — | Not comparable |
MathGPT-5.4 wins2 benchmarks
Multimodal11 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Maverick | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | — | Not comparable |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | — | Not comparable |
| CharXivSource | 82.8% | — | Not comparable |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | 62.1% | GPT-5.4 leads |
| Design Arena WebsiteSource | 1252 | 903 | GPT-5.4 leads |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 43.0% | GPT-5.4 leads |
Frequently Asked Questions (2)
Which is better, GPT-5.4 or Llama 4 Maverick?
GPT-5.4 is ahead on BenchLM's BenchAlign leaderboard, 74.24 to 23.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 47.600% and 0.690%.
Which is better for math, GPT-5.4 or Llama 4 Maverick?
GPT-5.4 has the edge for math in this comparison, averaging 42.5 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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