DeepSeek V3 vs Gemma 4 31B
At a Glance
| Compare |  DeepSeek V3DeepSeek |  Gemma 4 31BGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.2574Openrouter ↗ · Aug 29, 2026 | $0.090Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.89Deepinfra ↗ · Sep 23, 2026 | $0.34Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 164K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V3 | Gemma 4 31B |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,332.3992% of row best · rating · deepseek-v3; 95% CI [1327.66209525, 1337.12686082]; votes 21770; rank 209 | 1,441.68100% of row best · rating · gemma-4-31b; 95% CI [1434.13929794, 1449.22204224]; votes 5894; rank 64 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V3 | Gemma 4 31B |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V3 | Gemma 4 |
| Model | DeepSeek-V3 | Gemma 4 31B |
| Version | DeepSeek-V3 | Gemma 4 31B |
| Lifecycle | active | active |
| Released | 2024-12-26 | 2026-03-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 164K | 262K |
| Total parameters | 684.5B | 31B |
| Active parameters | 37B | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, structured_outputs, tools |
DeepSeek V3 Capabilities
Gemma 4 31B Capabilities
Related Comparisons
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DeepSeek-V3DeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3 vs Gemma 4 31B FAQs
Is DeepSeek V3 or Gemma 4 31B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3 or Gemma 4 31B?+
DeepSeek V3 is $0.2574 and Gemma 4 31B is $0.090 per million tokens, so Gemma 4 31B is cheaper on this metric. DeepSeek V3 is $0.89 and Gemma 4 31B is $0.34 per million tokens, so Gemma 4 31B is cheaper on this metric.
Which has a larger context window, DeepSeek V3 or Gemma 4 31B?+
Gemma 4 31B has the larger sourced context window. DeepSeek V3 supports 164K and Gemma 4 31B supports 262K.
Which performs better in benchmarks, DeepSeek V3 or Gemma 4 31B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3 or Gemma 4 31B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V3 is open weight; Gemma 4 31B is open weight.
Can DeepSeek V3 and Gemma 4 31B understand images?+
DeepSeek V3 is not documented with image input; Gemma 4 31B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V3 or Gemma 4 31B?+
Neither has a larger sourced maximum output. DeepSeek V3 is — and Gemma 4 31B is —.
Do DeepSeek V3 and Gemma 4 31B support reasoning and tool use?+
DeepSeek V3: none of these features are definitively sourced. Gemma 4 31B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3 or Gemma 4 31B?+
DeepSeek V3 has 3 sourced provider routes; Gemma 4 31B has 5, so Gemma 4 31B has broader tracked availability.
Which offers better value, DeepSeek V3 or Gemma 4 31B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.