Compare AI Models
Compare up to 4 AI models side by side across benchmarks, pricing, speed, and capabilities. Our LLM comparison tool pulls live data from 350+ models including GPT-4o, Claude Opus, Gemini 2.5 Pro, DeepSeek R1, and Llama 4. Select any models below to see how they stack up on context window, output pricing, capability support, and composite score.
OpenAI
Composite Score
2/6 signal wins
GPT-5 Image Mini leads on 2/6 signals
| Signal | GPT-5 Image Mini | Delta | GPT-5 Image |
|---|---|---|---|
Capabilities | 86 | -- | |
Benchmarks | 88 | -- | |
Pricing | 98 | +8 | |
Context window size | 100 | -- | |
Recency | 63 | +0 | |
Output Capacity | 100 | -- | |
| Overall Result | 2 wins | of 6 | 0 wins |
GPT-5 Image Mini
OpenAI
GPT-5 Image
OpenAI
GPT-5 Image Mini saves you $1150.00/month
That's $13800.00/year compared to GPT-5 Image at your current usage level of 100K calls/month.
GPT-5 Image Mini and GPT-5 Image are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-5 Image Mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Image Mini
78% lower pricing; better value at scale
Best for Reliability
GPT-5 Image Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Image Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Image Mini
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 78% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
GPT-5 Image Mini
OpenAI
GPT-5 Image
OpenAI
GPT-5.4 Image 2
OpenAI
| Metric | GPT-5 Image Mini | GPT-5 Image | GPT-5.4 Image 2 |
|---|---|---|---|
| Overall Score | 89 | 89 | 88 |
| Rank | 1 | 2 | 3 |
| Quality Rank | #1 | #2 | #3 |
| Adoption Rank | #1 | #2 | #3 |
| Status | |||
| Confidence | High confidence | High confidence | High confidence |
| Parameters | -- | -- | -- |
| Context Window | 400.0K tokens | 400.0K tokens | 272.0K tokens |
| Pricing | $2.50/$2.00/M | $10.00/$10.00/M | $8.00/$15.00/M |
| Signal Scores | |||
| Capabilities | 86 | 86 | 86 |
| Benchmarks | 88 | 88 | 88 |
| Pricing | 98 | 90 | 85 |
| Context window size | 100 | 100 | 97 |
| Recency | 63 | 62 | 97 |
| Output Capacity | 100 | 100 | 100 |
Use our comparison tool above to select up to 4 AI models. We compare them across benchmarks, pricing per million tokens, context window size, output capacity, capabilities (vision, function calling, reasoning), and composite score. Data is refreshed hourly.
Key metrics include: benchmark scores (MMLU, SWE-bench, Arena Elo), pricing (input and output per million tokens), context window size, output token limit, latency, capabilities (vision, reasoning, function calling, JSON mode), and whether the model is open source.
It depends on your use case. GPT-4o excels in multimodal tasks and has a larger ecosystem, while Claude Opus leads in extended reasoning and safety. Compare them directly using our tool to see the latest benchmark scores and pricing.