AI model comparison
Gemma 4 31B vs DeepSeek V3.1 Terminus
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
- Input / 1M
- $0.09
- Output / 1M
- $0.34
- Context
- 262K
DeepSeek
DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's
- Input / 1M
- $0.27
- Output / 1M
- $1
- Context
- 164K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemma 4 31B
3.0x cheaper for a typical chat
Higher intelligence score
DeepSeek V3.1 Terminus
14.8 vs 14.7 on Artificial Analysis
Larger context window
Gemma 4 31B
262K vs 164K 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 31B14.7DeepSeek V3.1 Terminus14.8Coding index
Gemma 4 31B43.4DeepSeek V3.1 Terminus43.5Agentic index
Gemma 4 31B4.2DeepSeek V3.1 Terminus6.8Pricing
Gemma 4 31B vs DeepSeek V3.1 Terminus API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 4 31B | DeepSeek V3.1 Terminus |
|---|---|---|
| Input tokensPer 1M tokens | $0.09 | $0.27 |
| Output tokensPer 1M tokens | $0.34 | $1 |
| Cached input (read)Per 1M tokens | $0.05 | 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$0.35DeepSeek V3.1 Terminus$1.04Coding task
30K in, 4K out
Gemma 4 31B$4.06$2.86 cachedDeepSeek V3.1 Terminus$12.10Long document summary
150K in, 2K out
Gemma 4 31B$14.18$8.18 cachedDeepSeek V3.1 Terminus$42.50Specs
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 | DeepSeek V3.1 Terminus |
|---|---|---|
| Context window | 262K tokens | 164K tokens |
| Max output | 16K tokens | 147K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 2, 2026 | September 22, 2025 |
Features
Supported features
API features available for each model.
| Metric | Gemma 4 31B | DeepSeek V3.1 Terminus |
|---|---|---|
| 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 | Not 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 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 Ling 3.0 Flash
- 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 Granite 4.2 8B
- Gemma 4 31B vs GLM 4.7 Flash
- Gemma 4 31B vs DeepSeek V3.2 Exp
- Gemma 4 31B vs Nemotron 3 Super
- Gemma 4 31B vs Step 3.5 Flash
- Gemma 4 31B vs Mercury 2
DeepSeek V3.1 TerminusView full model details- DeepSeek V3.1 Terminus vs DeepSeek V4 Flash 0423
- DeepSeek V3.1 Terminus vs Qwen3.6 35B A3B
- DeepSeek V3.1 Terminus vs Gemini 3.1 Flash Lite
- DeepSeek V3.1 Terminus vs Gemini 2.5 Flash
- DeepSeek V3.1 Terminus vs DeepSeek V3.2 Exp
- DeepSeek V3.1 Terminus vs Kimi K2 0905
- DeepSeek V3.1 Terminus vs Mercury 2
- DeepSeek V3.1 Terminus vs DeepSeek V3.1
- DeepSeek V3.1 Terminus vs R1 0528
- DeepSeek V3.1 Terminus vs DeepSeek V3 0324
Our take
Gemma 4 31B is 3.0x cheaper for a typical chat. DeepSeek V3.1 Terminus scores higher on the Artificial Analysis Intelligence Index (14.8 vs 14.7). Gemma 4 31B has the larger context window (262K vs 164K 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 Gemma 4 31B or DeepSeek V3.1 Terminus cheaper?
Gemma 4 31B is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemma 4 31B costs $0.09 per 1M input tokens and $0.34 per 1M output tokens, while DeepSeek V3.1 Terminus costs $0.27 per 1M input tokens and $1 per 1M output tokens.
Which has a bigger context window, Gemma 4 31B or DeepSeek V3.1 Terminus?
Gemma 4 31B supports up to 262K tokens of context, compared with 164K for DeepSeek V3.1 Terminus.
Is Gemma 4 31B smarter than DeepSeek V3.1 Terminus?
On the Artificial Analysis Intelligence Index, Gemma 4 31B scores 14.7 and DeepSeek V3.1 Terminus scores 14.8, putting DeepSeek V3.1 Terminus ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemma 4 31B and DeepSeek V3.1 Terminus at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemma 4 31B and DeepSeek V3.1 Terminus answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemma 4 31B and DeepSeek V3.1 Terminus at the same time. Compare the answers side by side and keep the best one.