Compare / head-to-head
GPT-5.2vsLlama 4 Scout
GPT-5.2 leads 1 of 1 shared benchmark. Llama 4 Scout has the larger context window (10M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 0
GPT-5.2 leads
Cheaper per token
—
list price, input + output
Larger context
Llama 4 Scout
10M tokens
Provider uptime (30d)
94.5205% · —
OpenAI · Meta
GPT-5.2
OpenAI · released 2025-12-11
textvision
Llama 4 Scout
Meta · released 2025-04-05
textvision
- Context
- 10M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 2 · 2 core
Quality
Benchmark matrix
1 shared · 13 only GPT-5.2 · 1 only Llama 4 Scout| Benchmark | GPT-5.2 | Llama 4 Scout | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| GPQA Diamond | 92.4% ↗ | 57.2% ↗ | +35.2 pt | GPT-5.2 |
| Only GPT-5.2 reports · 13 | ||||
| SWE-bench Verified | 80% ↗ | not reported | — | — |
| AIME 2025 | 100% ↗ | not reported | — | — |
| AIME 2026 | 98.3% ↗matharena | not reported | — | — |
| LMArena Elo | 1412.4 ↗ | not reported | — | — |
| ARC-AGI-1 (Verified) | 86.2% ↗ | not reported | — | — |
| ARC-AGI-2 (Verified) | 52.9% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 31.7% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 67.4% ↗epoch | not reported | — | — |
| GDPval (wins or ties) | 70.9% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 96.1% ↗epoch | not reported | — | — |
| SimpleQA Verified | 37.1% ↗epoch | not reported | — | — |
| SWE-Bench Pro | 55.6% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 73.8% ↗epoch | not reported | — | — |
| Only Llama 4 Scout reports · 1 | ||||
| MMLU-Pro | not reported | 74.3% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-5.2 minus Llama 4 Scout in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-5.2 | Llama 4 Scout | Edge |
|---|---|---|---|
| Context window | 400K tokens | 10M tokens | Llama 4 Scout |
| Max output | 128K tokens | — | — |
| Input price / 1M | $1.75 ↗ | — | — |
| Output price / 1M | $14 ↗ | — | — |
| Cached input / 1M | $0.175 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $15.75 | — | — |
| Modalities | text · vision | text · vision | Tie |
| Released | 2025-12-11 | 2025-04-05 | — |
| Cited benchmark scores | 16 | 2 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GPT-5.2 vs …
Models sharing the most benchmarksMore matchups
Llama 4 Scout vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-5.2 and Llama 4 Scout on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.