DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 4 31B (free)
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of Google: Gemma 4 31B (free) at #23. Google: Gemma 4 31B (free) is cheaper on input tokens at Free/1M vs $0.14/1M for DeepSeek: DeepSeek V4 Flash 0731. DeepSeek: DeepSeek V4 Flash 0731 offers the larger context window at 1M tokens.
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 4 31B (free): which should you use?
Choose DeepSeek: DeepSeek V4 Flash 0731 if…
- It sees more real traffic — #1 overall on OpenRouter's weekly ranking, against #23 for Google: Gemma 4 31B (free).
- Bigger context window — 1M vs 262K tokens.
- Higher Artificial Analysis intelligence index — 51.8 vs 29.7.
- Higher Artificial Analysis coding score — 69.1 vs 43.4.
- Higher Artificial Analysis agentic score — 48.4 vs 14.4.
- It is the newer model — released Jul 2026 against Apr 2026.
Choose Google: Gemma 4 31B (free) if…
- Cheaper to read — Free vs $0.14 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — Free vs $0.28 per 1M output tokens, the line item that decides generation-heavy costs.
- It accepts image, video input, which DeepSeek: DeepSeek V4 Flash 0731 does not.
Spec Comparison
| DeepSeek: DeepSeek V4 Flash 0731 | Google: Gemma 4 31B (free) | |
|---|---|---|
| Author | deepseek | |
| Input price (per 1M tokens) | $0.14 | Free |
| Output price (per 1M tokens) | $0.28 | Free |
| Context window | 1M | 262K |
| Input modalities | text | image, text, video |
| Output modalities | text | text |
| AA Intelligence | 51.8 | 29.7 |
| AA Coding | 69.1 | 43.4 |
| AA Agentic | 48.4 | 14.4 |
| Released | Jul 2026 | Apr 2026 |
What DeepSeek: DeepSeek V4 Flash 0731 and Google: Gemma 4 31B (free) actually cost to run
On a read-heavy job — 1M tokens in, 100K out — DeepSeek: DeepSeek V4 Flash 0731 costs $0.17 and Google: Gemma 4 31B (free) costs $0.00.
Flip the shape — 100K in, 1M out — and it becomes $0.29 for DeepSeek: DeepSeek V4 Flash 0731 versus $0.00 for Google: Gemma 4 31B (free).
Both figures are the published per-token rates multiplied out; caching and batch discounts are not included.
Usage Rank by Task
| Task | DeepSeek: DeepSeek V4 Flash 0731 | Google: Gemma 4 31B (free) |
|---|---|---|
| Overall | #1 | #23 |
| Memory Extraction | #6 | — |
| Multi-step Planning | #2 | — |
| Tool Dispatch | #2 | — |
| Web Search | #4 | — |
| Agent Workflows | #5 | — |
| Classification & Tagging | #9 | — |
| Debugging | #3 | — |
| DevOps Config | #2 | — |
| File Read/Write | #3 | — |
| Frontend UI | #2 | — |
| Code Implementation | #3 | — |
| Repo Analysis | #3 | — |
| Code Review & Security | #3 | — |
| Shell Execution | #6 | — |
About DeepSeek: DeepSeek V4 Flash 0731 and Google: Gemma 4 31B (free)
DeepSeek: DeepSeek V4 Flash 0731
Built by deepseek · released Jul 2026 · 1M-token context
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Google: Gemma 4 31B (free)
Built by google · released Apr 2026 · 262K-token context
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
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FAQ
Which is better, DeepSeek: DeepSeek V4 Flash 0731 or Google: Gemma 4 31B (free)?
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of Google: Gemma 4 31B (free) at #23. Google: Gemma 4 31B (free) is cheaper on input tokens at Free/1M vs $0.14/1M for DeepSeek: DeepSeek V4 Flash 0731. DeepSeek: DeepSeek V4 Flash 0731 offers the larger context window at 1M tokens.
Which is cheaper, DeepSeek: DeepSeek V4 Flash 0731 or Google: Gemma 4 31B (free)?
Google: Gemma 4 31B (free) is cheaper at Free per 1M input tokens. Output pricing: DeepSeek: DeepSeek V4 Flash 0731 $0.28, Google: Gemma 4 31B (free) Free.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.