| Signal | GPT-4o (extended) | Delta | Devstral Medium |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 18 | +16 | |
Context window size | 81 | 0 | |
Recency | 11 | -77 | |
Output Capacity | 80 | +60 | |
| Overall Result | 3 wins | of 5 | 2 wins |
14
days ranked higher
3
days
13
days ranked higher
OpenAI
Mistral AI
Devstral Medium saves you $1360.00/month
That's $16320.00/year compared to GPT-4o (extended) at your current usage level of 100K calls/month.
| Metric | GPT-4o (extended) | Devstral Medium | Winner |
|---|---|---|---|
| Overall Score | 60 | 59 | GPT-4o (extended) |
| Rank | #200 | #210 | GPT-4o (extended) |
| Quality Rank | #200 | #210 | GPT-4o (extended) |
| Adoption Rank | #200 | #210 | GPT-4o (extended) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Devstral Medium |
| Pricing | $6.00/$18.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4o (extended) |
| Pricing | 18 | 2 | GPT-4o (extended) |
| Context window size | 81 | 81 | Devstral Medium |
| Recency | 11 | 88 | Devstral Medium |
| Output Capacity | 80 | 20 | GPT-4o (extended) |
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 60/100 (rank #200), placing it in the top 31% of all 290 models tracked.
Scores 59/100 (rank #210), placing it in the top 28% of all 290 models tracked.
With only a 1-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.
Devstral Medium offers 90% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral Medium vs $360.00/month with GPT-4o (extended) — a $324.00 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. Devstral Medium also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K 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 (60/100) 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-4o (extended) and Devstral Medium are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o (extended)
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral Medium
90% lower pricing; better value at scale
Best for Reliability
GPT-4o (extended)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o (extended)
Stronger community support and better developer experience
Best for Production
GPT-4o (extended)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o (extended) | Devstral Medium |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Devstral Medium saves you $29.28/month
That's 90% cheaper than GPT-4o (extended) 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 | GPT-4o (extended) | Devstral Medium |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 64,000 | -- |
| Open Source | Yes | No |
| Created | May 13, 2024 | Jul 10, 2025 |
GPT-4o (extended) scores 60/100 (rank #200) compared to Devstral Medium's 59/100 (rank #210), giving it a 1-point advantage. GPT-4o (extended) is the stronger overall choice, though Devstral Medium may excel in specific areas like cost efficiency.
GPT-4o (extended) is ranked #200 and Devstral Medium is ranked #210 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.
Devstral Medium is cheaper at $2.00/M output tokens vs GPT-4o (extended)'s $18.00/M output tokens — 9.0x more expensive. Input token pricing: GPT-4o (extended) at $6.00/M vs Devstral Medium at $0.40/M.
Devstral Medium has a larger context window of 131,072 tokens compared to GPT-4o (extended)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.