AI model comparison
Mistral Medium 3.5 vs GPT-4.1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
- Input / 1M
- $1.50
- Output / 1M
- $7.50
- Context
- 262K
OpenAI
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning.
- Input / 1M
- $2
- Output / 1M
- $8
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Medium 3.5
1.2x cheaper for a typical chat
Higher intelligence score
Mistral Medium 3.5
14.2 vs 12.7 on Artificial Analysis
Larger context window
GPT-4.1
1.05M vs 262K tokens
Newer release
Mistral Medium 3.5
Released April 30, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Medium 3.514.2GPT-4.112.7Coding index
Mistral Medium 3.546.9GPT-4.1Not availableAgentic index
Mistral Medium 3.57GPT-4.1Not availablePricing
Mistral Medium 3.5 vs GPT-4.1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Medium 3.5 | GPT-4.1 |
|---|---|---|
| Input tokensPer 1M tokens | $1.50 | $2 |
| Output tokensPer 1M tokens | $7.50 | $8 |
| Cached input (read)Per 1M tokens | Not available | $0.50 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
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
Mistral Medium 3.5$6.75GPT-4.1$8Coding task
30K in, 4K out
Mistral Medium 3.5$75GPT-4.1$92$47 cachedLong document summary
150K in, 2K out
Mistral Medium 3.5$240GPT-4.1$316$91 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Medium 3.5 | GPT-4.1 |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 210K tokens | 33K tokens |
| Input types | File, Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | High, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | April 30, 2026 | April 14, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Medium 3.5 | GPT-4.1 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not 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.
Mistral Medium 3.5View full model details- Mistral Medium 3.5 vs Gemini 3.1 Flash Lite
- Mistral Medium 3.5 vs Gemini 2.5 Flash
- Mistral Medium 3.5 vs Claude Haiku 4.5
- Mistral Medium 3.5 vs o4 Mini
- Mistral Medium 3.5 vs Gemini 2.5 Pro
- Mistral Medium 3.5 vs o1
- Mistral Medium 3.5 vs Command A
- Mistral Medium 3.5 vs Qwen3 235B A22B Thinking 2507
- Mistral Medium 3.5 vs o3 Mini
- Mistral Medium 3.5 vs Sonar Reasoning Pro
GPT-4.1View full model details- GPT-4.1 vs Gemini 2.5 Pro
- GPT-4.1 vs o4 Mini
- GPT-4.1 vs o1
- GPT-4.1 vs Command A
- GPT-4.1 vs Qwen3 235B A22B Thinking 2507
- GPT-4.1 vs o3 Mini
- GPT-4.1 vs o1-pro
- GPT-4.1 vs Sonar Reasoning Pro
- GPT-4.1 vs o3 Mini High
- GPT-4.1 vs Nova Premier 1.0
- GPT-4.1 vs GPT-4o (2024-11-20)
- GPT-4.1 vs GPT-4o (2024-08-06)
- GPT-4.1 vs Sonar Pro
- GPT-4.1 vs GPT-4o (2024-05-13)
- GPT-4.1 vs GPT-4 Turbo
- GPT-4.1 vs GPT-4
Our take
Mistral Medium 3.5 is 1.2x cheaper for a typical chat. Mistral Medium 3.5 scores higher on the Artificial Analysis Intelligence Index (14.2 vs 12.7). GPT-4.1 has the larger context window (1.05M vs 262K 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 Mistral Medium 3.5 or GPT-4.1 cheaper?
Mistral Medium 3.5 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens, while GPT-4.1 costs $2 per 1M input tokens and $8 per 1M output tokens.
Which has a bigger context window, Mistral Medium 3.5 or GPT-4.1?
GPT-4.1 supports up to 1.05M tokens of context, compared with 262K for Mistral Medium 3.5.
Is Mistral Medium 3.5 smarter than GPT-4.1?
On the Artificial Analysis Intelligence Index, Mistral Medium 3.5 scores 14.2 and GPT-4.1 scores 12.7, putting Mistral Medium 3.5 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Medium 3.5 and GPT-4.1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Medium 3.5 and GPT-4.1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Medium 3.5 and GPT-4.1 at the same time. Compare the answers side by side and keep the best one.