AI model comparison
Devstral 2 2512 vs GPT-3.5 Turbo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Devstral 2 2512
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window.
- Input / 1M
- $0.40
- Output / 1M
- $2
- Context
- 262K
OpenAI
GPT-3.5 Turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.
- Input / 1M
- $0.50
- Output / 1M
- $1.50
- Context
- 16K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-3.5 Turbo
1.0x cheaper for a typical chat
Higher intelligence score
Devstral 2 2512
8.6 vs 5.5 on Artificial Analysis
Larger context window
Devstral 2 2512
262K vs 16K tokens
Newer release
Devstral 2 2512
Released December 9, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Devstral 2 25128.6GPT-3.5 Turbo5.5Coding index
Devstral 2 251231.3GPT-3.5 Turbo10.7Agentic index
Devstral 2 25122.3GPT-3.5 TurboNot availablePricing
Devstral 2 2512 vs GPT-3.5 Turbo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Devstral 2 2512 | GPT-3.5 Turbo |
|---|---|---|
| Input tokensPer 1M tokens | $0.40 | $0.50 |
| Output tokensPer 1M tokens | $2 | $1.50 |
| Cached input (read)Per 1M tokens | $0.04 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Devstral 2 2512$1.80GPT-3.5 Turbo$1.75Coding task
30K in, 4K out
Devstral 2 2512$20$9.20 cachedGPT-3.5 Turbo$21Long document summary
150K in, 2K out
Devstral 2 2512$64$10 cachedGPT-3.5 Turbo$78Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Devstral 2 2512 | GPT-3.5 Turbo |
|---|---|---|
| Context window | 262K tokens | 16K tokens |
| Max output | 210K tokens | 4K tokens |
| Input types | File, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 9, 2025 | May 28, 2023 |
Features
Supported features
API features available for each model.
| Metric | Devstral 2 2512 | GPT-3.5 Turbo |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Devstral 2 2512View full model details- Devstral 2 2512 vs GPT-4.1 Mini
- Devstral 2 2512 vs Qwen3 VL 235B A22B Instruct
- Devstral 2 2512 vs DeepSeek V3 0324
- Devstral 2 2512 vs Qwen3 Next 80B A3B Instruct
- Devstral 2 2512 vs Mistral Large 3 2512
- Devstral 2 2512 vs Qwen3 Coder Next
- Devstral 2 2512 vs Mistral Medium 3.1
- Devstral 2 2512 vs Mistral Medium 3
- Devstral 2 2512 vs GLM 4.5V
- Devstral 2 2512 vs Mistral Large 2407
- Devstral 2 2512 vs Hermes 4 405B
- Devstral 2 2512 vs Nova Pro 1.0
- Devstral 2 2512 vs Mistral Large
- Devstral 2 2512 vs Mixtral 8x22B Instruct
Our take
GPT-3.5 Turbo is 1.0x cheaper for a typical chat. Devstral 2 2512 scores higher on the Artificial Analysis Intelligence Index (8.6 vs 5.5). Devstral 2 2512 has the larger context window (262K vs 16K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Devstral 2 2512 or GPT-3.5 Turbo cheaper?
GPT-3.5 Turbo is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-3.5 Turbo costs $0.50 per 1M input tokens and $1.50 per 1M output tokens, while Devstral 2 2512 costs $0.40 per 1M input tokens and $2 per 1M output tokens.
Which has a bigger context window, Devstral 2 2512 or GPT-3.5 Turbo?
Devstral 2 2512 supports up to 262K tokens of context, compared with 16K for GPT-3.5 Turbo.
Is Devstral 2 2512 smarter than GPT-3.5 Turbo?
On the Artificial Analysis Intelligence Index, Devstral 2 2512 scores 8.6 and GPT-3.5 Turbo scores 5.5, putting Devstral 2 2512 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Devstral 2 2512 and GPT-3.5 Turbo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Devstral 2 2512 and GPT-3.5 Turbo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Devstral 2 2512 and GPT-3.5 Turbo at the same time. Compare the answers side by side and keep the best one.