| Signal | GPT-4o | Delta | Devstral 2 2512 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 82 | +82 | |
Pricing | 10 | +8 | |
Context window size | 81 | -5 | |
Recency | 11 | -89 | |
Output Capacity | 70 | +50 | |
| Overall Result | 4 wins | of 6 | 2 wins |
9
days ranked higher
4
days
17
days ranked higher
OpenAI
Mistral AI
Devstral 2 2512 saves you $610.00/month
That's $7320.00/year compared to GPT-4o at your current usage level of 100K calls/month.
| Metric | GPT-4o | Devstral 2 2512 | Winner |
|---|---|---|---|
| Overall Score | 63 | 63 | Devstral 2 2512 |
| Rank | #180 | #175 | Devstral 2 2512 |
| Quality Rank | #180 | #175 | Devstral 2 2512 |
| Adoption Rank | #180 | #175 | Devstral 2 2512 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 262K | Devstral 2 2512 |
| Pricing | $2.50/$10.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4o |
| Benchmarks | 82 | -- | GPT-4o |
| Pricing | 10 | 2 | GPT-4o |
| Context window size | 81 | 86 | Devstral 2 2512 |
| Recency | 11 | 100 | Devstral 2 2512 |
| Output Capacity | 70 | 20 | GPT-4o |
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 63/100 (rank #180), placing it in the top 38% of all 290 models tracked.
Scores 63/100 (rank #175), placing it in the top 40% of all 290 models tracked.
With only a 0-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 2 2512 offers 81% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral 2 2512 vs $187.50/month with GPT-4o — a $151.50 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. Devstral 2 2512 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K 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 (63/100) 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 and Devstral 2 2512 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral 2 2512
81% lower pricing; better value at scale
Best for Reliability
GPT-4o
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o
Stronger community support and better developer experience
Best for Production
GPT-4o
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o | Devstral 2 2512 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Devstral 2 2512 saves you $13.38/month
That's 81% cheaper than GPT-4o 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 | Devstral 2 2512 |
|---|---|---|
| Context Window | 128K | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | May 13, 2024 | Dec 9, 2025 |
Devstral 2 2512 scores 63/100 (rank #175) compared to GPT-4o's 63/100 (rank #180), giving it a 0-point advantage. Devstral 2 2512 is the stronger overall choice, though GPT-4o may excel in specific areas like certain benchmarks.
GPT-4o is ranked #180 and Devstral 2 2512 is ranked #175 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 2 2512 is cheaper at $2.00/M output tokens vs GPT-4o's $10.00/M output tokens — 5.0x more expensive. Input token pricing: GPT-4o at $2.50/M vs Devstral 2 2512 at $0.40/M.
Devstral 2 2512 has a larger context window of 262,144 tokens compared to GPT-4o's 128,000 tokens. A larger context window means the model can process longer documents and conversations.