AI model comparison
Gemma 4 31B vs Mistral Small 4
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
- Input / 1M
- $0.20
- Output / 1M
- $0.40
- Context
- 262K
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
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Tie
Same price for a typical chat
Higher intelligence score
Gemma 4 31B
14.7 vs 11.3 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Gemma 4 31B
Released April 2, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemma 4 31B14.7
Mistral Small 411.3Coding index
Gemma 4 31B43.4Mistral Small 426.6Agentic index
Gemma 4 31B4.2Mistral Small 40.8Pricing
Gemma 4 31B vs Mistral Small 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 4 31B | Mistral Small 4 |
|---|---|---|
| Input tokensPer 1M tokens | $0.20 | $0.15 |
| Output tokensPer 1M tokens | $0.40 | $0.60 |
| Cached input (read)Per 1M tokens | Not available | $0.02 |
| 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
Gemma 4 31B$0.60Mistral Small 4$0.60Coding task
30K in, 4K out
Gemma 4 31B$7.60Mistral Small 4$6.90$2.85 cachedLong document summary
150K in, 2K out
Gemma 4 31B$30.80Mistral Small 4$23.70$3.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemma 4 31B | Mistral Small 4 |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 16K tokens | 210K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, None |
| Default reasoning effort | Not available | High |
| Release date | April 2, 2026 | March 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemma 4 31B | Mistral Small 4 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | 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.
Gemma 4 31BView full model details- Gemma 4 31B vs DeepSeek V4.1 Flash
- Gemma 4 31B vs Gemini 2.5 Flash Lite
- Gemma 4 31B vs gpt-oss-120b
- Gemma 4 31B vs Gemini 3.1 Flash Lite
- Gemma 4 31B vs Gemini 2.5 Flash
- Gemma 4 31B vs Gemma 4 26B A4B
- Gemma 4 31B vs GPT-5 Nano
- Gemma 4 31B vs Qwen3 235B A22B Instruct 2507
- Gemma 4 31B vs DeepSeek V3.1
- Gemma 4 31B vs Mercury 2.5
- Gemma 4 31B vs Qwen3.5-9B
- Gemma 4 31B vs Nemotron 3.5 Lightning
- Gemma 4 31B vs DeepSeek V3.2 Exp
- Gemma 4 31B vs GLM 4.7 Flash
- Gemma 4 31B vs Nemotron 3 Super
- Gemma 4 31B vs Granite 4.2 8B
- Gemma 4 31B vs DeepSeek V3.1 Terminus
- Gemma 4 31B vs Step 3.5 Flash
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 GPT-5 Nano
- Mistral Small 4 vs Nemotron 3 Super
- Mistral Small 4 vs Qwen3 235B A22B Instruct 2507
- 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 Mercury 2
- 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 Saba
Our take
Gemma 4 31B scores higher on the Artificial Analysis Intelligence Index (14.7 vs 11.3). 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 Gemma 4 31B or Mistral Small 4 cheaper?
Gemma 4 31B and Mistral Small 4 cost the same for a typical chat (2K input tokens and 500 output tokens). Gemma 4 31B costs $0.20 per 1M input tokens and $0.40 per 1M output tokens, and Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Gemma 4 31B or Mistral Small 4?
Gemma 4 31B supports up to 262K tokens of context, compared with 262K for Mistral Small 4.
Is Gemma 4 31B smarter than Mistral Small 4?
On the Artificial Analysis Intelligence Index, Gemma 4 31B scores 14.7 and Mistral Small 4 scores 11.3, putting Gemma 4 31B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemma 4 31B and Mistral Small 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemma 4 31B and Mistral Small 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemma 4 31B and Mistral Small 4 at the same time. Compare the answers side by side and keep the best one.