Gemma 4 E2B vs Qwen3.7-Plus
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 E2B | Qwen3.7-Plus |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemma 4 | Qwen3 7 Plus |
| Model | Gemma 4 E2B | Qwen3.7-Plus |
| Version | Gemma 4 E2B | Qwen3.7-Plus |
| 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 | 131,072 | 1,000,000 |
| Total parameters | Unknown | Unknown |
| 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), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 E2B Capabilities
Qwen3.7-Plus Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Qwen3.7-PlusQwen | vs |  GLM-5.3-FlashZ.ai | cross-developer peersimage, text, video |
Qwen3.7-PlusQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Qwen3 VL PlusQwen | vs | Qwen3.7-PlusQwen | family variantsimage, text, video |
 Kimi K2.7 CodeMoonshot AI | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
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Seed 2.1 ProByteDance Seed | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Gemma 4 26B-A4BGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs Qwen3.7-Plus FAQs
Is Gemma 4 E2B or Qwen3.7-Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Qwen3.7-Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or Qwen3.7-Plus?+
Only Qwen3.7-Plus has a directly sourced input price: $0.32 per million tokens. Only Qwen3.7-Plus has a directly sourced output price: $1.28 per million tokens.
Which has a larger context window, Gemma 4 E2B or Qwen3.7-Plus?+
Qwen3.7-Plus has the larger sourced context window. Gemma 4 E2B supports 131,072 and Qwen3.7-Plus supports 1,000,000.
Which performs better in benchmarks, Gemma 4 E2B or Qwen3.7-Plus?+
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 Qwen3.7-Plus be self-hosted?+
Gemma 4 E2B is the only model in this pair currently marked as self-hostable. Gemma 4 E2B is open weight; Qwen3.7-Plus is not marked open weight.
Can Gemma 4 E2B and Qwen3.7-Plus understand images?+
Gemma 4 E2B is documented with image input; Qwen3.7-Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or Qwen3.7-Plus?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and Qwen3.7-Plus is 131,072.
Do Gemma 4 E2B and Qwen3.7-Plus support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. Qwen3.7-Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or Qwen3.7-Plus?+
Gemma 4 E2B has 1 sourced provider route; Qwen3.7-Plus has 4, so Qwen3.7-Plus has broader tracked availability.
Which offers better value, Gemma 4 E2B or Qwen3.7-Plus?+
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.