GPT-5.3-Codex vs GPT-6 Astra
Full profiles: GPT-5.3-Codex (OpenAI) and GPT-6 Astra (OpenAI): every benchmark, price and rank.
Updated · Data from 10 sources
As of 27 Oct 2026, GPT-6 Astra (max) leads on quality (70.3 vs 63.6 on the BenchLeader Index), but GPT-5.3-Codex (xhigh) costs 4.2× less, so it is the better buy unless you need the extra quality. Pick GPT-5.3-Codex for agents & tools (80 vs 64); pick GPT-6 Astra for knowledge (79 vs 66).
GPT-5.3-Codex benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | GPT-6 Astra | 74 vs 61 category score; WeirdML 93.3% vs 77.9% | High |
| Agents & tool use | GPT-5.3-Codex | 80 vs 64 category score | High |
| Reasoning | GPT-6 Astra | 76 vs 68 category score; CritPt 31.7% vs 16.9% | High |
| Knowledge | GPT-6 Astra | 79 vs 66 category score; AA-Omniscience 43.4 vs 10.9 | High |
| Long documents | GPT-5.3-Codex | 67 vs 65 category score; AA-LCR 83.3% vs 80.7% | Medium |
| Images and other media | GPT-6 Astra | 66 vs 61 category score; MMMU-Pro 86.9% vs 78.5% | Medium |
| Chat quality (human preference) | – | Only GPT-6 Astra has an Arena rating (67 category score) | Not comparable |
| Lowest cost | GPT-5.3-Codex | $4.81 vs $20.00 per 1M blended; agentic coding session $0.161 vs $0.800 | – |
| Fastest first answer | GPT-5.3-Codex | 55.9 s (GPT-5.3-Codex (xhigh)) vs 353.2 s (GPT-6 Astra (max)) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- GPT-6 Astra (max) leads on quality: 70.3 vs 63.6.
- GPT-5.3-Codex (xhigh) is stronger in agents & tools, instruction following, long context.
- GPT-6 Astra (max) is stronger in coding, composite, knowledge, multimodal, reasoning, human preference, maths.
- GPT-5.3-Codex (xhigh) is 4.2× cheaper ($4.81 vs $20.00 per 1M blended).
- GPT-5.3-Codex (xhigh) streams 1.5× faster (103 vs 68 tokens per second).
At a glance
| Spec | GPT-5.3-Codex | GPT-6 Astra |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Released | 5 Feb 2026 | 2 Sept 2026 |
| Context window (tokens) | 400,000 | 1,050,000 |
| Compared at | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $1.75 / $14.00 / $0.175 | $10.00 / $50.00 / $1.00 |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) | Leader |
|---|---|---|---|
| Reasoning | 68.1 | 76.1 | GPT-6 Astra |
| Coding | 60.8 | 73.9 | GPT-6 Astra |
| Agents & tools | 80.1 | 64.2 | GPT-5.3-Codex |
| Maths | – | 71.8 | not comparable |
| Knowledge | 66.0 | 79.3 | GPT-6 Astra |
| Instruction following | 73.5 | – | not comparable |
| Human preference | – | 66.7 | not comparable |
| Multimodal | 61.2 | 65.9 | GPT-6 Astra |
| Long context | 66.6 | 65.2 | GPT-5.3-Codex |
| Composite | 65.4 | 87.8 | GPT-6 Astra |
Where sources disagree
Across the 12 benchmarks both have, GPT-5.3-Codex leads 1, GPT-6 Astra leads 11. Every overall index that rates both puts GPT-6 Astra ahead.
| Overall index | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 63.6 | 70.3 | GPT-6 Astra |
| AA Intelligence Index v4.3.2 | 32.5 | 52.7 | GPT-6 Astra |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) |
|---|---|---|
| Blended price per 1M tokens | $4.81 | $20.00 |
| Input / output per 1M | $1.75 / $14.00 | $10.00 / $50.00 |
| Cached input per 1M | $0.175 | $1.00 |
| Price per task: chat reply | $0.0049 | $0.019 |
| Price per task: summarize a 30-page report | $0.029 | $0.150 |
| Price per task: code edit | $0.032 | $0.135 |
| Price per task: agentic coding session | $0.161 | $0.800 |
| Price per task: structured extraction | $0.0063 | $0.030 |
| Cost to run a full benchmark suite | – | $3.26 |
| Output speed | 103 tok/s | 68 tok/s |
| Time to first answer | 55.9 s | 353.2 s |
| Time to a complete answer | 60.8 s | 360.5 s |
Each model is compared at its best-ranked reasoning-effort setting. GPT-5.3-Codex (xhigh) scores 63.6 and takes 56 s to its first answer token. GPT-6 Astra (max) scores 70.3 and takes 353 s to its first answer token; GPT-6 Astra (high) scores 69.5 in 62 s, GPT-6 Astra (xhigh) scores 68.8 in 175 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
138 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.6 | 70.3 |
| Agents & tools score | BenchLeader | 80.1 | 64.2 |
| Coding score | BenchLeader | 60.8 | 73.9 |
| Composite score | BenchLeader | 65.4 | 87.8 |
| Instruction following score | BenchLeader | 73.5 | – |
| Knowledge score | BenchLeader | 66.0 | 79.3 |
| Long context score | BenchLeader | 66.6 | 65.2 |
| Multimodal score | BenchLeader | 61.2 | 65.9 |
| Reasoning score | BenchLeader | 68.1 | 76.1 |
| Human preference score | BenchLeader | – | 66.7 |
| Maths score | BenchLeader | – | 71.8 |
| Blended price $/M | BenchLeader | $4.81 | $20.00 |
| Output speed | BenchLeader | 103 tok/s | 68 tok/s |
| Time to first answer | BenchLeader | 55.9 s | 353.2 s |
| Context window | BenchLeader | 400,000 tokens | 1,050,000 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 95.8% |
| Humanity's Last Exam | Scale AI / CAIS | – | 54.8%† |
| Arena Hard Prompts | Arena (LMArena) | – | 1501 |
| LiveBench 2.0 Reasoning | LiveBench | – | 92.7%† |
| LiveBench 1.0 Reasoning | LiveBench | – | 92.7% |
| GPQA Diamond (AA) | Artificial Analysis | 91.5% | 96.1% |
| Humanity's Last Exam (AA) | Artificial Analysis | 42.5% | 54.7% |
| ARC-AGI-1 | ARC Prize | – | 97.5% |
| ARC-AGI-2 | ARC Prize | – | 95.0% |
| ARC-AGI-3 | ARC Prize | – | 98.6% |
| CritPt | Artificial Analysis | 16.9% | 31.7% |
| MysteryMechanism | Vals AI | – | 53.1% |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 74.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | – | 84.0% |
| LMCA | Epoch AI Benchmarking Hub | – | 64.1%† |
| DTBench | Epoch AI Benchmarking Hub | – | 97.1%† |
| BTF-3 | Epoch AI Benchmarking Hub | – | 13.5%† |
| Coding | |||
| SWE-bench Verified (Epoch) | Epoch AI Benchmarking Hub | 74.8%† | – |
| SciCode | SciCode | – | 56.5% |
| WeirdML | WeirdML | 77.9% | 93.3% |
| FrontierCode | Cognition | – | 53.3% |
| GSO-Bench | GSO-Bench | – | 79.4%† |
| Arena Coding | Arena (LMArena) | – | 1543 |
| Arena WebDev | Arena (LMArena) | 1407† | 1774 |
| LiveBench 2.0 Coding | LiveBench | – | 93.7%† |
Show all 138 benchmarks
| Metric | Publisher | GPT-5.3-Codex (xhigh) | GPT-6 Astra (max) |
|---|---|---|---|
| Coding | |||
| LiveBench 1.0 Coding | LiveBench | – | 80.4% |
| LiveCodeBench | Vals AI | 87.3% | – |
| IOI | Vals AI | 53.8% | 100.0% |
| SWE-bench (Vals) | Vals AI | 78.0% | – |
| Code Migration | Vals AI | – | 67.7% |
| Code Migration v1.1 | Vals AI | – | 80.6% |
| ProgramBench | Vals AI | – | 5.5% |
| SWE-bench Multimodal | Vals AI | – | 43.3% |
| Vibe Code Bench 1-100 | Vals AI | – | 27.6% |
| Vibe Code Bench v1.1 | Vals AI | 61.8% | 89.6% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | – | 59.1%† |
| SWE Atlas: Refactoring | Scale AI SEAL | – | 59.0%† |
| SWE Atlas: Test Writing | Scale AI SEAL | – | 50.7%† |
| MirrorCode | Epoch AI Benchmarking Hub | – | 46.7%† |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | – | 73.2% |
| ALE-Bench | Epoch AI Benchmarking Hub | 1655.2 | 2951.3 |
| FrontierSWE | Epoch AI Benchmarking Hub | – | 65.5% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | – | 59.1% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | – | 88.4% |
| Startrise Frontend | Startrise | – | 79.9%† |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 47.0% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 78.4%† | 58.2% |
| Remote Labor Index | Scale AI / CAIS | – | 20.8%† |
| APEX-Agents | Mercor | – | 64.7%† |
| Arena Agent | Arena (LMArena) | – | 14 |
| LiveBench Long Agentic | LiveBench | – | 77.5%† |
| LiveBench Browser | LiveBench | – | 91.3%† |
| LiveBench Agentic Coding | LiveBench | – | 57.3% |
| Terminal-Bench Hard | Artificial Analysis | 53.0% | – |
| τ²-Bench Telecom (AA) | Artificial Analysis | 86.0% | – |
| Terminal-Bench 2.1 (Vals) | Vals AI | – | 87.3% |
| HiL-Bench | Scale AI SEAL | 4.3%† | 65.3%† |
| GDPval-AA v2.1 | Artificial Analysis | – | 53.7% |
| τ³-Banking (AA) | Artificial Analysis | – | 41.4% |
| ITBench SRE (AA) | Artificial Analysis | – | 48.6% |
| Analyst Agent (AA) | Artificial Analysis | – | 51.3% |
| CUA-bench | Vals AI | – | 19.2% |
| CyberBench | Vals AI | – | 41.1% |
| Finance Agent v2 | Vals AI | – | 53.5% |
| Finance Agent v2.1 | Vals AI | – | 60.4% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | – | 7.1% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | – | 5.4% |
| Legal Research Bench | Vals AI | – | 39.4% |
| Robo-bench | Vals AI | – | 23.3% |
| SREBench | Vals AI | – | 56.9% |
| Tax Agent Bench | Vals AI | – | 20.7% |
| Terminal-Bench 2.0 (Vals) | Vals AI | 64.0%† | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | – | 59.6% |
| Terminal-Bench Science | Vals AI | – | 62.9% |
| Time Horizon Index: KSP | Vals AI | – | 90.5% |
| Arena Search | Arena (LMArena) | – | 1246 |
| BALROG | BALROG | – | 68.3% |
| METR Time Horizons | METR | 74.5%† | – |
| Vending-Bench 2 | Andon Labs | 5940.1† | 15514.7† |
| AutomationBench | Artificial Analysis | – | 68.5% |
| GDP.pdf (AA) | Artificial Analysis | – | 31.0% |
| Harvey LAB-AA v1.1 | Harvey | – | 8.6% |
| AA-Briefcase v1.1 | Artificial Analysis | – | 1568 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | – | 63.3% |
| CWE-Bench (AA) | Artificial Analysis | – | 63.3% |
| DeepSec-Bench (AA) | Artificial Analysis | – | 36.9% |
| CyberGym end-to-end (AA) | Artificial Analysis | – | 0.0% |
| FACTS Search | – | 89.9%† | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 93.7% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 97.6% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 100.0% |
| ProofBench | Vals AI | – | 99.0%† |
| LiveBench Mathematics | LiveBench | – | 96.8% |
| Arena Maths | Arena (LMArena) | – | 1487 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 75.6% |
| LiveBench 2.0 Data Analysis | LiveBench | – | 83.0%† |
| LiveBench Research | LiveBench | – | 85.2%† |
| LiveBench 1.0 Data Analysis | LiveBench | – | 83.0% |
| AA-Omniscience | Artificial Analysis | 10.9 | 43.4 |
| PRBench Finance | Scale AI SEAL | – | 47.5%† |
| PRBench Legal | Scale AI SEAL | – | 48.4%† |
| BioMysteryBench | Vals AI | – | 79.3% |
| Excel Modeling Benchmark | Vals AI | – | 71.7% |
| Excel Modeling Benchmark v1.1 | Vals AI | – | 72.7% |
| MedCode | Vals AI | – | 48.5% |
| MedScribe | Vals AI | – | 87.9% |
| DrugDiscoveryBench | Scale AI SEAL | – | 68.7% |
| EBR-bench | Epoch AI Benchmarking Hub | – | 76.2% |
| GDP.pdf | Epoch AI Benchmarking Hub | – | 34.2% |
| AA-Omniscience: accuracy | Artificial Analysis | 52.9% | 62.6% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 10.8% | 48.7% |
| Instruction following | |||
| LiveBench Language | LiveBench | – | 89.4% |
| LiveBench Instruction Following | LiveBench | – | 75.6% |
| IFBench | Artificial Analysis | 75.4% | – |
| Arena Instruction Following | Arena (LMArena) | – | 1473 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1477 |
| Arena Creative Writing | Arena (LMArena) | – | 1450 |
| Arena Multi-turn | Arena (LMArena) | – | 1485 |
| Arena Longer Queries | Arena (LMArena) | – | 1489 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1280 |
| LiveBench Design | LiveBench | – | 82.0%† |
| MMMU-Pro | Artificial Analysis | 78.5% | 86.9% |
| SAGE | Vals AI | – | 46.4% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | – | 49.7%† |
| AA-3D | Artificial Analysis | – | 1164 |
| Long context | |||
| AA-LCR | Artificial Analysis | 83.3% | 80.7% |
| Arena Document | Arena (LMArena) | – | 1473 |
| MLCR | Artificial Analysis | – | 41.7% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 157.1† | 168.8† |
| LiveBench 2.0 | LiveBench | – | 85.6%† |
| LiveBench 1.0 | LiveBench | – | 82.2% |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 32.5 | 52.7 |
| Vals Index | Vals AI | – | 65.0 |
| Vals Finance Index | Vals AI | – | 55.6% |
| Vals RSI Index | Vals AI | – | 27.1% |
| Vals Science Index | Vals AI | – | 65.1% |
| Vals Router Index | Vals AI | – | 65.0%† |
| AA Cyber Index | Artificial Analysis | – | 33.4 |
Data as of 2026-10-27. Best configuration of each model; every score links to its source on the model pages.
What changed
- GPT-6 Astra (max): 1 score revision.
- GPT-6 Astra (max): 9 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
- GPT-6 Astra (max): 1 score revision.
- GPT-6 Astra (max): 4 score revisions.
- GPT-6 Astra (max): BenchLeader Index 69.8 → 70.6.
- GPT-6 Astra (max): 1 score revision.
- GPT-6 Astra (max): 1 new result (Arena Search); 3 score revisions.
- GPT-6 Astra (max): BenchLeader Index 70.3 → 69.8.
- GPT-6 Astra (max): 1 score revision.
- GPT-6 Astra (max): 7 new results (FrontierCode 1.1 (AA), Terminal-Bench-Science 0.1 (AA), AA Cyber Index…); 1 score revision.
Related comparisons
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- GPT-5.3-Codex vs Muse Wonder Full
- GPT-6 Astra vs Claude Opus 5.5
- GPT-6 Astra vs Claude Fable 5.1
- GPT-6 Astra vs Muse Wonder Full
- GPT-6 Astra vs GPT-6.1 Sol
- GPT-5.2 vs GPT-6 Astra
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
GPT-5.3-Codex vs GPT-6 Astra: questions
- Is GPT-5.3-Codex better than GPT-6 Astra?
- GPT-6 Astra (max) leads on quality: 70.3 vs 63.6. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (max) is ahead overall as of 2026-10-27, but check the category scores for your use.
- Which is cheaper, GPT-5.3-Codex or GPT-6 Astra, and will that change?
- GPT-5.3-Codex is cheaper today: $4.81 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is GPT-5.3-Codex better than GPT-6 Astra for coding?
- GPT-6 Astra scores higher in coding (74 vs 61 on the category index, where 50 is average). On WeirdML, the top shared coding benchmark, it is 77.9% for GPT-5.3-Codex against 93.3% for GPT-6 Astra.
- Is GPT-5.3-Codex better than GPT-6 Astra for agents and tool use?
- GPT-5.3-Codex scores higher in agentic tasks (80 vs 64 on the category index, where 50 is average).
- Which is better for long documents?
- GPT-5.3-Codex scores higher on long-context benchmarks (67 vs 65). GPT-6 Astra accepts more context: 1,050,000 against 400,000 tokens for GPT-5.3-Codex.
- Which has lower latency?
- GPT-5.3-Codex (xhigh) answers first: 55.9 s against 353.2 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Which is faster, GPT-5.3-Codex or GPT-6 Astra?
- GPT-5.3-Codex streams faster: 103 against 68 output tokens per second.
- Do independent benchmarks agree on GPT-5.3-Codex vs GPT-6 Astra?
- Across the 12 benchmarks both have, GPT-5.3-Codex leads 1, GPT-6 Astra leads 11. Every overall index that rates both puts GPT-6 Astra ahead.
- When was GPT-6 Astra released?
- GPT-6 Astra was released on 2 Sept 2026.