GPT-5.3 Codex vs Claude Opus 4.6
GPT-5.3 Codex comes out ahead, 64 to 61 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAI
GPT-5.3 Codex
64/100- ECI156.8
- Price$1.75 / $14.00
- Context400K
Anthropic
Claude Opus 4.6
61/100- ECI155.3
- Price$5.00 / $25.00
- Context1M
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Make it a three-way comparison.
GPT-5.3 Codex is our pick
GPT-5.3 Codex is the better all-round choice, scoring 64/100 against Claude Opus 4.6 (61). It leads on capability and price. Claude Opus 4.6 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.3 CodexCapabilities Index (ECI): GPT-5.3 Codex 156.8 · Claude Opus 4.6 155.3
- Lowest priceGPT-5.3 CodexGPT-5.3 Codex $4.81 · Claude Opus 4.6 $10.00 per 1M tokens (3:1 blend)
- Longest contextClaude Opus 4.6Claude Opus 4.6 1,000,000 · GPT-5.3 Codex 400,000 tokens
- Widest inputsSame inputsGPT-5.3 Codex: Text, Images, PDFs · Claude Opus 4.6: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | GPT-5.3 Codex | Claude Opus 4.6 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 85 |
| Price | 25% | 18 | 2 |
| Inputs & features | 15% | 80 | 80 |
| Context window | 10% | 44 | 60 |
| Overall | 100% | 64/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 156.8 (best) | 155.3 |
| ECI rank | #18 of 148 (best) | #27 of 148 |
| GPQA DiamondGraduate-level science questions | — | 90.5% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 66.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 94.4% |
| SWE-bench VerifiedFixing real GitHub issues | 74.8% | 78.7% (best) |
| SimpleQA VerifiedShort factual questions | — | 47.0% |
| Price per million tokens | ||
| Input | $1.75 (best) | $5.00 |
| Output | $14.00 (best) | $25.00 |
| Cached input | $0.175 (best) | $0.50 |
| Blended (3:1) | $4.81 (best) | $10.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Anthropic API |
| Limits | ||
| Context window | 400,000 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · high · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gpt-5.3-codex | claude-opus-4-6 |
| API providers | 19 | 33 (best) |
| Released | Feb 5, 2026 | Feb 5, 2026 |
| Knowledge cutoff | Aug 31, 2025 | May 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.3 Codex$45.50
Claude Opus 4.6$100.00
Which should you choose?
Which is better: GPT-5.3 Codex or Claude Opus 4.6?
GPT-5.3 Codex is the better all-round choice, scoring 64/100 against Claude Opus 4.6 (61). It leads on capability and price. Claude Opus 4.6 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.3 Codex or Claude Opus 4.6?
GPT-5.3 Codex is cheaper at $1.75 input / $14.00 output per million tokens (official OpenAI API price). Claude Opus 4.6 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $4.81 per million tokens for GPT-5.3 Codex versus $10.00 for Claude Opus 4.6 (2.1× as much).
Which scores higher on benchmarks?
GPT-5.3 Codex scores higher on the Capabilities Index (ECI): GPT-5.3 Codex 156.8 (#18 of 148) and Claude Opus 4.6 155.3 (#27 of 148). The confidence ranges of the top two overlap (153.5–160.8 vs 153.4–157.3), so treat the gap as small. On individual benchmarks: SWE-bench Verified — Claude Opus 4.6 78.7%, GPT-5.3 Codex 74.8%.
Which is better for coding?
Claude Opus 4.6 resolves more real GitHub issues on SWE-bench Verified: Claude Opus 4.6 78.7% and GPT-5.3 Codex 74.8%. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Opus 4.6 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.3 Codex. Maximum output per response: GPT-5.3 Codex up to 128,000, Claude Opus 4.6 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.3 Codex accepts text, images and PDFs; Claude Opus 4.6 accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
No. GPT-5.3 Codex and Claude Opus 4.6 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.3 Codex is the newest, released Feb 5, 2026. Claude Opus 4.6 came out Feb 5, 2026. Knowledge cutoff: GPT-5.3 Codex Aug 31, 2025, Claude Opus 4.6 May 31, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.