Model comparison
GPT-5.4 vs Llama 4 Scout
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 Scout #174 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and Llama 4 Scout share 18 comparable benchmark results. 0 of 8 categories are comparable. 34 results are unique to GPT-5.4; 0 to Llama 4 Scout.
Updated July 20, 2026- Shared results
- 18
- GPT-5.4 only
- 34
- Llama 4 Scout only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.4 and Llama 4 Scout is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 7 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.
GPT-5.4 is priced at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Scout. Llama 4 Scout has the larger context window at 10M, compared with 1.05M for GPT-5.4.
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 Scout |
|---|---|---|---|
| Agentic | GPT-5.477.2 | MarginNo overlap | Llama 4 ScoutNot measured |
| Coding | GPT-5.457.7 | MarginNo overlap | Llama 4 ScoutNot measured |
| Knowledge | GPT-5.457.6 | MarginNo overlap | Llama 4 ScoutNot measured |
| Math | GPT-5.442.5 | MarginNo overlap | Llama 4 ScoutNot measured |
| Multimodal | GPT-5.473.2 | MarginNo overlap | Llama 4 ScoutNot 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 0.000%Winner: GPT-5.4Δ 47.6FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; Llama 4 Scout scored 0.000%. 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 Scout | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | Llama 4 Scout$0 input / $0 output | Llama 4 Scout has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.474 tok/s | Llama 4 Scout128 tok/s | Llama 4 Scout has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | Llama 4 Scout0.70 s | Llama 4 Scout reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5.41.05M | Llama 4 Scout10M | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Scout | 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% | 15.5% | GPT-5.4 leads |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 1.1% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 0.0% | GPT-5.4 leads |
| GDPval-AASource | 1395 | 90 | 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 Scout | 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% | 10.0% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 58.7% | GPT-5.4 leads |
| AA-HLESource | 41.6% | 4.3% | GPT-5.4 leads |
| AA-Omniscience IndexSource | 5.7% | -52.4% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 14.6% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 78.3% | Llama 4 Scout leads |
| HealthBench ProfessionalSource | 48.1% | — | Not comparable |
Math2 benchmarks
Multimodal11 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Scout | 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% | 52.9% | GPT-5.4 leads |
| Design Arena WebsiteSource | 1252 | 783 | GPT-5.4 leads |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | Llama 4 Scout | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 39.5% | GPT-5.4 leads |
Frequently Asked Questions (3)
Can I compare GPT-5.4 and Llama 4 Scout 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 GPT-5.4 and Llama 4 Scout today?
GPT-5.4: $2.50 input / $15.00 output per 1M tokens Llama 4 Scout: $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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