Compare / head-to-head
GPT-5-CodexvsGPT-6 Astra
GPT-6 Astra leads 1 of 1 shared benchmark. GPT-5-Codex is 5.3x cheaper per token. GPT-6 Astra has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 1
GPT-6 Astra leads
Cheaper per token
GPT-5-Codex
5.3x cheaper, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
OpenAI
same provider
GPT-5-Codex
OpenAI · released 2025-09-15
textvision
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Quality
Benchmark matrix
1 shared · 1 only GPT-5-Codex · 32 only GPT-6 Astra| Benchmark | GPT-5-Codex | GPT-6 Astra | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| WeirdML (Håvard Tveit Ihle) | 54.5% ↗ | 93.6% ↗ | -39.1 pt | GPT-6 Astra |
| Only GPT-5-Codex reports · 1 | ||||
| SWE-bench Verified | 74.5% ↗ | not reported | — | — |
| Only GPT-6 Astra reports · 32 | ||||
| GPQA Diamond | not reported | 96% ↗ | — | — |
| LMArena Elo | not reported | 1477.1 ↗ | — | — |
| APEX-Agents (Mercor) | not reported | 64.7% ↗ | — | — |
| AutomationBench 1.0.6 | not reported | 41.4% ↗ | — | — |
| BALROG (BALROG) | not reported | 68.3% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 72% ↗epoch run | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 74.1% ↗ | — | — |
| EBR-bench (Epoch AI run) | not reported | 76.2% ↗epoch run | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 97.6% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 93.7% ↗epoch run | — | — |
| FrontierSWE V2 (Proximal Labs) | not reported | 65.5% ↗ | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 80% ↗epoch run | — | — |
| GSO Opt@1 (GSO) | not reported | 77.5% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 57.3% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 80.4% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 83% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 75.6% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 89.4% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 96.8% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 92.7% ↗ | — | — |
| LMArena Agent (LMArena) | not reported | 0.1227 ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1284.3 ↗ | — | — |
| LMArena WebDev (LMArena) | not reported | 1787.7 ↗ | — | — |
| MirrorCode (Epoch AI run) | not reported | 46.7% ↗epoch run | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 84% ↗epoch run | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 100% ↗epoch run | — | — |
| SAGE (Vals AI) | not reported | 46.4% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 86.5% ↗ | — | — |
| SimpleQA Verified | not reported | 75.6% ↗epoch run | — | — |
| Terminal-Bench 4.0 (Vals AI) | not reported | 59.6% ↗ | — | — |
| Terminal-Bench Science 0.1 | not reported | 64.6% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 15514.7 ↗ | — | — |
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-Codex minus GPT-6 Astra 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-Codex | GPT-6 Astra | Edge |
|---|---|---|---|
| Context window | 400K tokens | 1.1M tokens | GPT-6 Astra |
| Max output | 128K tokens | 128K tokens | Tie |
| Input price / 1M | $1.25 ↗ | $10 ↗ | GPT-5-Codex |
| Output price / 1M | $10 ↗ | $50 ↗ | GPT-5-Codex |
| Cached input / 1M | $0.125 ↗ | $1 ↗ | GPT-5-Codex |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $11.25 | $60 | GPT-5-Codex |
| Modalities | text · vision | text · vision | Tie |
| Released | 2025-09-15 | 2026-09-03 | — |
| Cited benchmark scores | 2 | 39 | — |
Reliability
OpenAI status
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Which one wins on your data?
Public benchmarks are a starting point. Run GPT-5-Codex and GPT-6 Astra on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.