DeepSeek V4 Pro vs Gemma 4 31B
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | DeepSeek-V4-Pro | Gemma 4 31B |
|---|---|---|
| CostLower is better · Published-token output estimate | #9 of 36$0.054 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Gemma 4 31B |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,451.00100% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,441.8299% of row best · rating · gemma-4-31b; 95% CI [1434.27306811, 1449.35895578]; votes 5900; rank 60 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark winsTied overall | 0 benchmark winsTied overall |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Gemma 4 31B |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Pro | Gemma 4 |
| Model | DeepSeek-V4-Pro | Gemma 4 31B |
| Version | DeepSeek-V4-Pro | Gemma 4 31B |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-03-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 31B |
| Active parameters | 49B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, structured_outputs, tools |
16 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Gemma 4 31B Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Gemma 4 31B FAQs
Is DeepSeek V4 Pro or Gemma 4 31B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Gemma 4 31B?+
DeepSeek V4 Pro is $0.66 and Gemma 4 31B is $0.090 per million tokens, so Gemma 4 31B is cheaper on this metric. DeepSeek V4 Pro is $1.5441 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 V4 Pro or Gemma 4 31B?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Gemma 4 31B supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro 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 V4 Pro or Gemma 4 31B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Gemma 4 31B is open weight.
Can DeepSeek V4 Pro and Gemma 4 31B understand images?+
DeepSeek V4 Pro 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 V4 Pro or Gemma 4 31B?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Gemma 4 31B is —.
Do DeepSeek V4 Pro and Gemma 4 31B support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Gemma 4 31B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Gemma 4 31B?+
DeepSeek V4 Pro has 6 sourced provider routes; Gemma 4 31B has 5, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 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.