Model comparison
GPT-5.5 Pro vs Llama 4 Scout
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Llama 4 Scout #174 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Llama 4 Scout share 2 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to GPT-5.5 Pro; 16 to Llama 4 Scout.
Updated July 22, 2026- Shared results
- 2
- GPT-5.5 Pro only
- 5
- Llama 4 Scout only
- 16
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.5 Pro and Llama 4 Scout is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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-5.5 Pro is priced at $30.00 input / $180.00 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 1M for GPT-5.5 Pro.
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-5.5 Pro | Δ | Llama 4 Scout |
|---|---|---|---|
| Agentic | GPT-5.5 Pro90.1 | MarginNo overlap | Llama 4 ScoutNot measured |
| Knowledge | GPT-5.5 Pro57.2 | MarginNo overlap | Llama 4 ScoutNot measured |
| Math | GPT-5.5 Pro48.1 | 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 51.000%B 0.000%Winner: GPT-5.5 ProΔ 51FrontierMath v2 (Tiers 1-3): GPT-5.5 Pro scored 51.000%; Llama 4 Scout scored 0.000%. GPT-5.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 Pro | Llama 4 Scout | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Llama 4 Scout$0 input / $0 output | Llama 4 Scout has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Llama 4 Scout128 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Llama 4 Scout0.70 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Llama 4 Scout10M | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-5.5 Pro | Llama 4 Scout | Result |
|---|---|---|---|
| HLESource | 57.2% | — | Not comparable |
| HLE w/o toolsSource | 43.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 10.0% | Not comparable |
| AA-GPQA DiamondSource | — | 58.7% | Not comparable |
| AA-HLESource | — | 4.3% | Not comparable |
| AA-Omniscience IndexSource | — | -52.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 14.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 78.3% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 Pro | Llama 4 Scout | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 39.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.5 Pro 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-5.5 Pro and Llama 4 Scout today?
GPT-5.5 Pro: $30.00 input / $180.00 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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