| Signal | GPT-4.1 Nano | Delta | Devstral Medium |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 44 | +1 | |
Pricing | 100 | +2 | |
Context window size | 96 | +14 | |
Recency | 68 | -16 | |
Output Capacity | 75 | +55 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
42.1
current score
Devstral Medium
right now
45.3
current score
OpenAI
Mistral AI
GPT-4.1 Nano saves you $110.00/month
That's $1320.00/year compared to Devstral Medium at your current usage level of 100K calls/month.
| Metric | GPT-4.1 Nano | Devstral Medium | Winner |
|---|---|---|---|
| Overall Score | 42 | 45 | Devstral Medium |
| Rank | #161 | #159 | Devstral Medium |
| Quality Rank | #161 | #159 | Devstral Medium |
| Adoption Rank | #161 | #159 | Devstral Medium |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 131K | GPT-4.1 Nano |
| Pricing | $0.10/$0.40/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | GPT-4.1 Nano |
| Benchmarks | 44 | 43 | GPT-4.1 Nano |
| Pricing | 100 | 98 | GPT-4.1 Nano |
| Context window size | 96 | 81 | GPT-4.1 Nano |
| Recency | 68 | 84 | Devstral Medium |
| Output Capacity | 75 | 20 | GPT-4.1 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 42/100 (rank #161), placing it in the top 45% of all 290 models tracked.
Scores 45/100 (rank #159), placing it in the top 46% 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-4.1 Nano offers 79% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $36.00/month with Devstral Medium - a $28.50 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-4.1 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K 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 (45/100) 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
Devstral Medium has a moderate advantage with a 3.1999999999999957-point lead in composite score. It wins on more signal dimensions, but GPT-4.1 Nano has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-4.1 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1 Nano
79% lower pricing; better value at scale
Best for Reliability
GPT-4.1 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-4.1 Nano
Stronger community support and better developer experience
Best for Production
GPT-4.1 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4.1 Nano | Devstral Medium |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
GPT-4.1 Nano saves you $2.46/month
That's 79% 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-4.1 Nano | Devstral Medium |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 32,768 | -- |
| Open Source | No | No |
| Created | Apr 14, 2025 | Jul 10, 2025 |
Devstral Medium scores 45/100 (rank #159) compared to GPT-4.1 Nano's 42/100 (rank #161), giving it a 3-point advantage. Devstral Medium is the stronger overall choice, though GPT-4.1 Nano may excel in specific areas like cost efficiency.
GPT-4.1 Nano is ranked #161 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-4.1 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-4.1 Nano at $0.10/M vs Devstral Medium at $0.40/M.
GPT-4.1 Nano has a larger context window of 1,047,576 tokens compared to Devstral Medium's 131,072 tokens. A larger context window means the model can process longer documents and conversations.