Gemma 4 E2B vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemma 4 E2B | Qwen3.8-Max |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #19 of 36$0.107 per LiveBench case |
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
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 E2B | Qwen3.8-Max |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemma 4 | Qwen3 8 Max |
| Model | Gemma 4 E2B | Qwen3.8-Max |
| Version | Gemma 4 E2B | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-03-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools, vision |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 E2B Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemma 4 E2BGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Gemma 4 E2BGoogle DeepMind | cross-developer peersimage, text |
Gemini 3.1 ProGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemma 4 E2BGoogle DeepMind | cross-developer peerstext |
Gemma 4 E2BGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peersimage, text |
Gemma 4 E2BGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Gemma 4 E2BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 E2BGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemma 4 E2BGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemma 4 E2BGoogle DeepMind | cross-developer peersimage, text, video |
Gemma 4 E2BGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Gemma 4 E2BGoogle DeepMind | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs Qwen3.8 Max FAQs
Is Gemma 4 E2B or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, Gemma 4 E2B or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced context window. Gemma 4 E2B supports 131K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Gemma 4 E2B or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 E2B or Qwen3.8 Max be self-hosted?+
Gemma 4 E2B is the only model in this pair currently marked as self-hostable. Gemma 4 E2B is open weight; Qwen3.8 Max is not marked open weight.
Can Gemma 4 E2B and Qwen3.8 Max understand images?+
Gemma 4 E2B is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or Qwen3.8 Max?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and Qwen3.8 Max is 131K.
Do Gemma 4 E2B and Qwen3.8 Max support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or Qwen3.8 Max?+
Gemma 4 E2B has 1 sourced provider route; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Gemma 4 E2B or Qwen3.8 Max?+
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.