A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Claude Opus 4.7 (Fast) leads on intelligence (53.5 vs 34.7) and context length (1M vs 400k) with stronger safety alignment and nuanced reasoning, while GPT-5.1-Codex dominates on speed (188.36 t/s vs 52.47) and price ($10 vs $150 per 1M). Claude suits careful large-context multimodal work; GPT-5.1-Codex excels in fast, cost-effective coding workflows with visual inputs.
| Spec | Claude Opus 4.7 (Fast) | GPT-5.1-Codex | Winner |
|---|---|---|---|
| Intelligence | 53.5 | 34.7 | Claude Opus 4.7 (Fast) |
| Output speed | 52 t/s | 188 t/s | GPT-5.1-Codex |
| Output price | $150.00/1M | $10.00/1M | GPT-5.1-Codex |
| Context | 1000K | 400K | Claude Opus 4.7 (Fast) |
| Params | — | — | Tie |
| Provider | Anthropic | OpenAI | Tie |
Claude Opus 4.7 (Fast) scores 53.5 on intelligence_index compared to GPT-5.1-Codex at 34.7. This supports stronger nuanced reasoning and safety alignment for Claude on multimodal tasks.
GPT-5.1-Codex delivers 188.36 tokens per second versus Claude Opus 4.7 (Fast) at 52.47 t/s. The speed advantage favors GPT-5.1-Codex for high-volume or latency-sensitive coding work.
GPT-5.1-Codex costs $10 per 1M output tokens while Claude Opus 4.7 (Fast) costs $150 per 1M. GPT-5.1-Codex provides a clear cost edge for extended usage.
Claude Opus 4.7 (Fast) supports 1M context tokens versus GPT-5.1-Codex at 400k. This gives Claude the advantage for effective large-context multimodal handling.
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Select Claude Opus 4.7 (Fast) when intelligence, safety, and maximum context matter most despite higher cost and slower speed. Choose GPT-5.1-Codex for faster, cheaper operation on coding and visual integration tasks. The models serve different priorities within multimodal use cases.
Claude Opus 4.7 (Fast) is better on intelligence and context; GPT-5.1-Codex is better on speed and price. Neither is universally superior.