AI model comparison
Mistral Small 4 vs GPT-5 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 262K
OpenAI
GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
- Input / 1M
- $0.05
- Output / 1M
- $0.40
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5 Nano
2x cheaper for a typical chat
Higher intelligence score
GPT-5 Nano
13 vs 11.3 on Artificial Analysis
Larger context window
GPT-5 Nano
400K vs 262K tokens
Newer release
Mistral Small 4
Released March 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Small 411.3GPT-5 Nano13Coding index
Mistral Small 426.6GPT-5 NanoNot availableAgentic index
Mistral Small 40.8GPT-5 NanoNot availablePricing
Mistral Small 4 vs GPT-5 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Small 4 | GPT-5 Nano |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.05 |
| Output tokensPer 1M tokens | $0.60 | $0.40 |
| Cached input (read)Per 1M tokens | $0.02 | $0.01 |
| 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 Small 4$0.60GPT-5 Nano$0.30Coding task
30K in, 4K out
Mistral Small 4$6.90$2.85 cachedGPT-5 Nano$3.10$1.75 cachedLong document summary
150K in, 2K out
Mistral Small 4$23.70$3.45 cachedGPT-5 Nano$8.30$1.55 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Small 4 | GPT-5 Nano |
|---|---|---|
| Context window | 262K tokens | 400K tokens |
| Max output | 210K tokens | 128K tokens |
| Input types | Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | High, None | High, Medium, Low, Minimal |
| Default reasoning effort | High | Medium |
| Release date | March 16, 2026 | August 7, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Small 4 | GPT-5 Nano |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Mistral Small 4View full model details- Mistral Small 4 vs Gemini 2.5 Flash Lite
- Mistral Small 4 vs gpt-oss-120b
- Mistral Small 4 vs Qwen3 235B A22B Instruct 2507
- Mistral Small 4 vs Nemotron 3 Super
- Mistral Small 4 vs Qwen3 Coder 480B A35B
- Mistral Small 4 vs GLM 4.6V
- Mistral Small 4 vs GLM 4.5 Air
- Mistral Small 4 vs Trinity Large Thinking
- Mistral Small 4 vs Llama 4 Maverick
- Mistral Small 4 vs Mistral Large 3 2512
- Mistral Small 4 vs Mistral Medium 3.1
- Mistral Small 4 vs Mistral Medium 3
- Mistral Small 4 vs Saba
GPT-5 NanoView full model details- GPT-5 Nano vs Gemini 2.5 Flash Lite
- GPT-5 Nano vs GPT-6 Luna Pro
- GPT-5 Nano vs gpt-oss-120b
- GPT-5 Nano vs Gemma 4 31B
- GPT-5 Nano vs Gemma 4 26B A4B
- GPT-5 Nano vs gpt-oss-20b
- GPT-5 Nano vs GPT-4o-mini
- GPT-5 Nano vs Qwen3 235B A22B Instruct 2507
- GPT-5 Nano vs DeepSeek V3.1
- GPT-5 Nano vs Mercury 2.5
- GPT-5 Nano vs Qwen3.5-9B
- GPT-5 Nano vs Nemotron 3.5 Lightning
- GPT-5 Nano vs GPT-4.1 Nano
- GPT-5 Nano vs Granite 4.2 8B
- GPT-5 Nano vs GLM 4.7 Flash
- GPT-5 Nano vs DeepSeek V3.2 Exp
- GPT-5 Nano vs Nemotron 3 Super
- GPT-5 Nano vs Step 3.5 Flash
- GPT-5 Nano vs Mercury 2
Our take
GPT-5 Nano is 2x cheaper for a typical chat. GPT-5 Nano scores higher on the Artificial Analysis Intelligence Index (13 vs 11.3). GPT-5 Nano has the larger context window (400K 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 Small 4 or GPT-5 Nano cheaper?
GPT-5 Nano is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5 Nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens, while Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Mistral Small 4 or GPT-5 Nano?
GPT-5 Nano supports up to 400K tokens of context, compared with 262K for Mistral Small 4.
Is Mistral Small 4 smarter than GPT-5 Nano?
On the Artificial Analysis Intelligence Index, Mistral Small 4 scores 11.3 and GPT-5 Nano scores 13, putting GPT-5 Nano ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Small 4 and GPT-5 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Small 4 and GPT-5 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Small 4 and GPT-5 Nano at the same time. Compare the answers side by side and keep the best one.