| Signal | Claude Sonnet 4.6 | Delta | GPT-5 Image Mini |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 15 | +13 | |
Context window size | 95 | -5 | |
Recency | 100 | -- | |
Output Capacity | 85 | -15 | |
| Overall Result | 1 wins | of 5 | 2 wins |
3
days ranked higher
2
days
25
days ranked higher
Anthropic
OpenAI
GPT-5 Image Mini saves you $700.00/month
That's $8400.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | GPT-5 Image Mini | Winner |
|---|---|---|---|
| Overall Score | 97 | 100 | GPT-5 Image Mini |
| Rank | #3 | #1 | GPT-5 Image Mini |
| Quality Rank | #3 | #1 | GPT-5 Image Mini |
| Adoption Rank | #3 | #1 | GPT-5 Image Mini |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 400K | Claude Sonnet 4.6 |
| Pricing | $3.00/$15.00/M | $2.50/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Sonnet 4.6 |
| Pricing | 15 | 2 | Claude Sonnet 4.6 |
| Context window size | 95 | 100 | GPT-5 Image Mini |
| Recency | 100 | 100 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 100 | GPT-5 Image Mini |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 97/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Scores 100/100 (rank #1), placing it in the top 100% of all 290 models tracked.
With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal — your choice should depend on pricing, latency requirements, and specific feature needs.
GPT-5 Image Mini offers 75% better value per quality point. At 1M tokens/day, you'd spend $67.50/month with GPT-5 Image Mini vs $270.00/month with Claude Sonnet 4.6 — a $202.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GPT-5 Image Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (100/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input — can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5 Image Mini has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but Claude Sonnet 4.6 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Image Mini
75% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | GPT-5 Image Mini |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Outputdiffers |
Anthropic
OpenAI
GPT-5 Image Mini saves you $16.50/month
That's 71% cheaper than Claude Sonnet 4.6 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Sonnet 4.6 | GPT-5 Image Mini |
|---|---|---|
| Context Window | 1M | 400K |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Feb 17, 2026 | Oct 16, 2025 |
GPT-5 Image Mini scores 100/100 (rank #1) compared to Claude Sonnet 4.6's 97/100 (rank #3), giving it a 3-point advantage. GPT-5 Image Mini is the stronger overall choice, though Claude Sonnet 4.6 may excel in specific areas like certain benchmarks.
Claude Sonnet 4.6 is ranked #3 and GPT-5 Image Mini is ranked #1 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
GPT-5 Image Mini is cheaper at $2.00/M output tokens vs Claude Sonnet 4.6's $15.00/M output tokens — 7.5x more expensive. Input token pricing: Claude Sonnet 4.6 at $3.00/M vs GPT-5 Image Mini at $2.50/M.
Claude Sonnet 4.6 has a larger context window of 1,000,000 tokens compared to GPT-5 Image Mini's 400,000 tokens. A larger context window means the model can process longer documents and conversations.