DeepSeek V4 Pro 0813 vs Gemma 4 E2B
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Gemma 4 E2BGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 131K |
| Model facts checked | Sep 3, 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
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-0813 | Gemma 4 E2B |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Pro | Gemma 4 |
| Model | DeepSeek-V4-Pro-0813 | Gemma 4 E2B |
| Version | DeepSeek-V4-Pro-0813 | Gemma 4 E2B |
| Lifecycle | active | active |
| Released | 2026-08-13 | 2026-03-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 131K |
| Total parameters | 1.6T | Unknown |
| Active parameters | 49B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
DeepSeek V4 Pro 0813 Capabilities
Gemma 4 E2B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Gemma 4 E2B FAQs
Is DeepSeek V4 Pro 0813 or Gemma 4 E2B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Gemma 4 E2B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
Only DeepSeek V4 Pro 0813 has a directly sourced input price: $1.30 per million tokens. Only DeepSeek V4 Pro 0813 has a directly sourced output price: $2.60 per million tokens.
Which has a larger context window, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Gemma 4 E2B supports 131K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro 0813 or Gemma 4 E2B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Gemma 4 E2B is open weight.
Can DeepSeek V4 Pro 0813 and Gemma 4 E2B understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Gemma 4 E2B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Gemma 4 E2B is —.
Do DeepSeek V4 Pro 0813 and Gemma 4 E2B support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Gemma 4 E2B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Gemma 4 E2B has 1, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Gemma 4 E2B?+
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.