| Signal | GPT-5 Nano | Delta | Devstral Medium |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 48 | +5 | |
Pricing | 100 | +2 | |
Context window size | 89 | +8 | |
Recency | 89 | +5 | |
Output Capacity | 85 | +65 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
46.9
current score
GPT-5 Nano
right now
45.3
current score
OpenAI
Mistral AI
GPT-5 Nano saves you $115.00/month
That's $1380.00/year compared to Devstral Medium at your current usage level of 100K calls/month.
| Metric | GPT-5 Nano | Devstral Medium | Winner |
|---|---|---|---|
| Overall Score | 47 | 45 | GPT-5 Nano |
| Rank | #157 | #159 | GPT-5 Nano |
| Quality Rank | #157 | #159 | GPT-5 Nano |
| Adoption Rank | #157 | #159 | GPT-5 Nano |
| Parameters | -- | -- | -- |
| Context Window | 400K | 131K | GPT-5 Nano |
| Pricing | $0.05/$0.40/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5 Nano |
| Benchmarks | 48 | 43 | GPT-5 Nano |
| Pricing | 100 | 98 | GPT-5 Nano |
| Context window size | 89 | 81 | GPT-5 Nano |
| Recency | 89 | 84 | GPT-5 Nano |
| Output Capacity | 85 | 20 | GPT-5 Nano |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 47/100 (rank #157), placing it in the top 46% of all 290 models tracked.
Scores 45/100 (rank #159), placing it in the top 46% of all 290 models tracked.
With only a 2-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 Nano offers 81% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with GPT-5 Nano vs $36.00/month with Devstral Medium - a $29.25 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 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (47/100) 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 Nano and Devstral Medium are extremely close in overall performance (only 1.6000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Nano
81% lower pricing; better value at scale
Best for Reliability
GPT-5 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Nano
Stronger community support and better developer experience
Best for Production
GPT-5 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Nano | Devstral Medium |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
GPT-5 Nano saves you $2.55/month
That's 82% cheaper than Devstral Medium 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-5 Nano | Devstral Medium |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | No |
| Created | Aug 7, 2025 | Jul 10, 2025 |
GPT-5 Nano scores 47/100 (rank #157) compared to Devstral Medium's 45/100 (rank #159), giving it a 2-point advantage. GPT-5 Nano is the stronger overall choice, though Devstral Medium may excel in specific areas like certain benchmarks.
GPT-5 Nano is ranked #157 and Devstral Medium is ranked #159 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT-5 Nano is cheaper at $0.40/M output tokens vs Devstral Medium's $2.00/M output tokens - 5.0x more expensive. Input token pricing: GPT-5 Nano at $0.05/M vs Devstral Medium at $0.40/M.
GPT-5 Nano has a larger context window of 400,000 tokens compared to Devstral Medium's 131,072 tokens. A larger context window means the model can process longer documents and conversations.