Claude Opus 4.7 vs GPT-5 Mini
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.
Quick verdict: which should you choose?
Choose Claude Opus 4.7 if you need
- ✓Choose GPT-5 Mini if you need high output speed at 96.66 t/s for rapid responses.
- ✓Choose GPT-5 Mini if you need low cost at $2 per 1M tokens for budget-sensitive use.
- ✓Choose GPT-5 Mini if you need efficient handling of 400k-token multimodal contexts in multi-turn tasks.
- ✓Choose GPT-5 Mini if you need a compact multimodal model optimized for text, image, and file integration.
Choose GPT-5 Mini if you need
- ✓Choose Claude Opus 4.7 if you need higher intelligence at 57.3 index for complex reasoning.
- ✓Choose Claude Opus 4.7 if you need up to 1M-token context for massive multimodal inputs.
- ✓Choose Claude Opus 4.7 if you need strong writing quality and safety-aligned outputs.
- ✓Choose Claude Opus 4.7 if you need versatile text, image, and file handling with careful responses.
Verdict
Claude Opus 4.7 leads in intelligence (57.3 vs 38.9) and context size (1M vs 400k tokens) with stronger reasoning, while GPT-5 Mini dominates speed (96.66 t/s vs 50.87 t/s) and price ($2 vs $25 per 1M tokens). GPT-5 Mini suits efficient multimodal workflows; Claude Opus 4.7 suits precision-heavy tasks. Both handle text, image, and file inputs effectively.
Claude Opus 4.7 vs GPT-5 Mini: side by side
| Spec | Claude Opus 4.7 | GPT-5 Mini | Winner |
|---|---|---|---|
| Intelligence | 57.3 | 38.9 | Claude Opus 4.7 |
| Output speed | 51 t/s | 97 t/s | GPT-5 Mini |
| Output price | $25.00/1M | $2.00/1M | GPT-5 Mini |
| Context | 1000K | 400K | Claude Opus 4.7 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | Anthropic | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: Claude Opus 4.7Claude Opus 4.7 scores 57.3 on intelligence_index compared to GPT-5 Mini's 38.9. This gives it an edge in reasoning and writing quality per the listed strengths. GPT-5 Mini shows reduced depth on highly complex tasks.
Speed
Winner: GPT-5 MiniGPT-5 Mini outputs at 96.66 t/s versus Claude Opus 4.7's 50.87 t/s. The speed advantage supports faster multimodal workflows. Claude's higher latency appears on complex multimodal tasks.
Pricing
Winner: GPT-5 MiniGPT-5 Mini costs $2 per 1M tokens while Claude Opus 4.7 costs $25 per 1M tokens. The tenfold price difference favors GPT-5 Mini for high-volume use. Both are proprietary models from OpenAI and Anthropic respectively.
Context Size
Winner: Claude Opus 4.7Claude Opus 4.7 supports 1M tokens versus GPT-5 Mini's 400k. Both strengths note effective large-context handling, but Claude's larger window enables bigger multimodal inputs. GPT-5 Mini remains efficient within its 400k limit.
Claude Opus 4.7
Pros
- +Handles very large contexts effectively
- +Strong reasoning and writing quality
- +Versatile with text, image, and file inputs
- +Careful and safety-aligned responses
Cons
- –Can be overly cautious or refuse edge cases
- –Higher latency on complex multimodal tasks
- –No native real-time web access
GPT-5 Mini
Pros
- +Handles very large contexts efficiently
- +Integrates text, image, and file inputs
- +Suitable for complex multi-turn tasks
- +Compact multimodal design
Cons
- –Reduced depth on highly complex reasoning vs full-size models
- –Performance depends on input clarity across modalities
- –May require careful prompting for nuanced outputs
Summary: Claude Opus 4.7 vs GPT-5 Mini
Select GPT-5 Mini for speed-critical or cost-sensitive multimodal applications needing up to 400k context. Select Claude Opus 4.7 when maximum intelligence, 1M context, and careful reasoning outweigh higher cost and slower speed. The choice hinges on whether performance metrics or intelligence index matter most.
Frequently asked questions
Claude Opus 4.7 leads on intelligence and context size while GPT-5 Mini leads on speed and price; neither is universally better.