| Signal | GPT-5.3-Codex | Delta | Devstral 2 2512 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 88 | +45 | |
Pricing | 86 | -12 | |
Context window size | 89 | +3 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
88.7
current score
GPT-5.3-Codex
right now
45.5
current score
OpenAI
Mistral AI
Devstral 2 2512 saves you $735.00/month
That's $8820.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | GPT-5.3-Codex | Devstral 2 2512 | Winner |
|---|---|---|---|
| Overall Score | 89 | 46 | GPT-5.3-Codex |
| Rank | #9 | #177 | GPT-5.3-Codex |
| Quality Rank | #9 | #177 | GPT-5.3-Codex |
| Adoption Rank | #9 | #177 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 400K | 262K | GPT-5.3-Codex |
| Pricing | $1.75/$14.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.3-Codex |
| Benchmarks | 88 | 43 | GPT-5.3-Codex |
| Pricing | 86 | 98 | Devstral 2 2512 |
| Context window size | 89 | 86 | GPT-5.3-Codex |
| Recency | 100 | 100 | GPT-5.3-Codex |
| Output Capacity | 85 | 20 | GPT-5.3-Codex |
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 89/100 (rank #9), placing it in the top 97% of all 290 models tracked.
Scores 46/100 (rank #177), placing it in the top 39% of all 290 models tracked.
GPT-5.3-Codex has a 43-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Devstral 2 2512 offers 85% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral 2 2512 vs $236.25/month with GPT-5.3-Codex - a $200.25 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Devstral 2 2512 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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-5.3-Codex clearly outperforms Devstral 2 2512 with a significant 43.2-point lead. For most general use cases, GPT-5.3-Codex is the stronger choice. However, Devstral 2 2512 may still excel in niche scenarios.
Best for Quality
GPT-5.3-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral 2 2512
85% lower pricing; better value at scale
Best for Reliability
GPT-5.3-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.3-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.3-Codex
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.3-Codex | Devstral 2 2512 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Devstral 2 2512 saves you $16.83/month
That's 84% cheaper than GPT-5.3-Codex 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-5.3-Codex | Devstral 2 2512 |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Feb 24, 2026 | Dec 9, 2025 |