AI model comparison
MiniMax M3.1 Flash vs Gemma 4 31B
Side by side comparison of MiniMax M3.1 Flash and Gemma 4 31B on pricing, benchmark scores, context window, and more.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
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
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
Not available
Not enough benchmark data
Larger context window
MiniMax M3.1 Flash
1.05M vs 262K tokens
Newer release
MiniMax M3.1 Flash
Released October 19, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemma 4 31BNot availableCoding index
Gemma 4 31B43.4Agentic index
Gemma 4 31B4.2Pricing
MiniMax M3.1 Flash vs Gemma 4 31B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 4 31B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.20 |
| Output tokensPer 1M tokens | $0.60 | $0.40 |
| Cached input (read)Per 1M tokens | $0.02 | 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
Gemma 4 31B$0.60Coding task
30K in, 4K out
Gemma 4 31B$7.60Long document summary
150K in, 2K out
Gemma 4 31B$30.80Specs
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 | |
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 524K tokens | 16K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Not available |
| Default reasoning effort | Max | Not available |
| Release date | October 19, 2026 | April 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemma 4 31B | |
|---|---|---|
| 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.
- MiniMax M3.1 Flash vs DeepSeek V4.1 Flash 1017
- MiniMax M3.1 Flash vs DeepSeek V4.1 Flash
- MiniMax M3.1 Flash vs GLM 5.3 Flash
- MiniMax M3.1 Flash vs GPT-6 Luna
- MiniMax M3.1 Flash vs Claude Opus 5.5
- MiniMax M3.1 Flash vs Hy4 preview
- MiniMax M3.1 Flash vs GPT-6.1 Sol
- MiniMax M3.1 Flash vs Step 5 Preview
- MiniMax M3.1 Flash vs GLM 5.3
- MiniMax M3.1 Flash vs MiMo-V2.6-Flash
- MiniMax M3.1 Flash vs DeepSeek V4 Flash 0731
- MiniMax M3.1 Flash vs Claude Haiku 5.5
- MiniMax M3.1 Flash vs Hy3
- MiniMax M3.1 Flash vs Qwen3.8 Max (0902)
- MiniMax M3.1 Flash vs Gemini 3.8 Flash
- MiniMax M3.1 Flash vs MiMo-V2.6-Pro
- MiniMax M3.1 Flash vs Solar Pro 4
- MiniMax M3.1 Flash vs Mistral Large 4
- MiniMax M3.1 Flash vs DeepSeek V4 Pro 0813
- MiniMax M3.1 Flash vs MiniMax M3
- MiniMax M3.1 Flash vs Qwen3.8 27B
- MiniMax M3.1 Flash vs Qwen3.8 Flash
- MiniMax M3.1 Flash vs GPT-6 Luna Pro
- MiniMax M3.1 Flash vs gpt-oss-120b
- MiniMax M3.1 Flash vs Gemini 2.5 Flash Lite
- MiniMax M3.1 Flash vs DeepSeek V3.2
- MiniMax M3.1 Flash vs GPT-4o-mini
- MiniMax M3.1 Flash vs Qwen3.6 35B A3B
Our take
MiniMax M3.1 Flash 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 MiniMax M3.1 Flash or Gemma 4 31B cheaper?
MiniMax M3.1 Flash and Gemma 4 31B cost the same for a typical chat (2K input tokens and 500 output tokens). MiniMax M3.1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, and Gemma 4 31B costs $0.20 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, MiniMax M3.1 Flash or Gemma 4 31B?
MiniMax M3.1 Flash supports up to 1.05M tokens of context, compared with 262K for Gemma 4 31B.
Can I use MiniMax M3.1 Flash and Gemma 4 31B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M3.1 Flash and Gemma 4 31B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M3.1 Flash and Gemma 4 31B at the same time. Compare the answers side by side and keep the best one.