AI model comparison
Mistral Small 3 vs Phi 4
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks.
- Input / 1M
- $0.05
- Output / 1M
- $0.08
- Context
- 33K
Microsoft
Phi 4
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed.
- Input / 1M
- $0.07
- Output / 1M
- $0.14
- Context
- 16K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Small 3
1.5x cheaper for a typical chat
Higher intelligence score
Mistral Small 3
6.7 vs 5.9 on Artificial Analysis
Larger context window
Mistral Small 3
33K vs 16K tokens
Newer release
Mistral Small 3
Released January 30, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Small 36.7Coding index
Mistral Small 3Not availableAgentic index
Mistral Small 3Not availablePricing
Mistral Small 3 vs Phi 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Small 3 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.05 | $0.07 |
| Output tokensPer 1M tokens | $0.08 | $0.14 |
| Cached input (read)Per 1M tokens | Not available | 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
Mistral Small 3$0.14Coding task
30K in, 4K out
Mistral Small 3$1.82Long document summary
150K in, 2K out
Mistral Small 3$7.66Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Small 3 | |
|---|---|---|
| Context window | 33K tokens | 16K tokens |
| Max output | 16K tokens | 15K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | January 30, 2025 | January 10, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Small 3 | |
|---|---|---|
| Tool calling | Not supported | Not 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.
Mistral Small 3View full model details- Mistral Small 3 vs gpt-oss-20b
- Mistral Small 3 vs Mistral Nemo
- Mistral Small 3 vs Llama 3.1 8B Instruct
- Mistral Small 3 vs Nova Micro 1.0
- Mistral Small 3 vs Ministral 3 8B 2512
- Mistral Small 3 vs Ministral 3 3B 2512
- Mistral Small 3 vs Ministral 3 14B 2512
- Mistral Small 3 vs Nova Lite 1.0
- Mistral Small 3 vs Granite 4.0 Micro
- Mistral Small 3 vs Gemma 3 4B
Our take
Mistral Small 3 is 1.5x cheaper for a typical chat. Mistral Small 3 scores higher on the Artificial Analysis Intelligence Index (6.7 vs 5.9). Mistral Small 3 has the larger context window (33K 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 Mistral Small 3 or Phi 4 cheaper?
Mistral Small 3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Small 3 costs $0.05 per 1M input tokens and $0.08 per 1M output tokens, while Phi 4 costs $0.07 per 1M input tokens and $0.14 per 1M output tokens.
Which has a bigger context window, Mistral Small 3 or Phi 4?
Mistral Small 3 supports up to 33K tokens of context, compared with 16K for Phi 4.
Is Mistral Small 3 smarter than Phi 4?
On the Artificial Analysis Intelligence Index, Mistral Small 3 scores 6.7 and Phi 4 scores 5.9, putting Mistral Small 3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Small 3 and Phi 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Small 3 and Phi 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Small 3 and Phi 4 at the same time. Compare the answers side by side and keep the best one.