Gemma 4 31B vs Qwen3.7 Plus
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind |  Qwen3.7 PlusQwen |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.090Openrouter ↗ · Sep 22, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.34Openrouter ↗ · Sep 22, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 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 | Gemma 4 31B | Qwen3.7-Plus |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,424.5199% of row best · rating · gemma-4-31b; 95% CI [1416.71159012, 1432.31286462]; votes 12326; rank 35 | 1,444.14100% of row best · rating · qwen3.7-plus; 95% CI [1435.12302267, 1453.16578005]; votes 4591; rank 30 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,441.6899% of row best · rating · gemma-4-31b; 95% CI [1434.13929794, 1449.22204224]; votes 5894; rank 64 | 1,454.20100% of row best · rating · qwen3.7-plus; 95% CI [1449.75378609, 1458.63820942]; votes 39334; rank 39 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,275.98100% of row best · rating · gemma-4-31b; 95% CI [1269.84273447, 1282.11308989]; votes 35713; rank 33 | 1,277.81100% of row best · rating · qwen3.7-plus; 95% CI [1270.28208926, 1285.34488566]; votes 10656; rank 31 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark winsNo overall winner | 2 benchmark winsNo 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 | Gemma 4 31B | Qwen3.7-Plus |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemma 4 | Qwen3 7 Plus |
| Model | Gemma 4 31B | Qwen3.7-Plus |
| Version | Gemma 4 31B | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 31B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), 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 |
Gemma 4 31B Capabilities
Qwen3.7 Plus Capabilities
Related Comparisons
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|---|---|---|---|
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 DeepSeek-V4.1-FlashDeepSeek | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemma 4 31BGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs Qwen3.7 Plus FAQs
Is Gemma 4 31B or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B 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 31B or Qwen3.7 Plus?+
Gemma 4 31B is $0.090 and Qwen3.7 Plus is $0.32 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 and Qwen3.7 Plus is $1.28 per million tokens, so Gemma 4 31B is cheaper on this metric.
Which has a larger context window, Gemma 4 31B or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced context window. Gemma 4 31B supports 262K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, Gemma 4 31B or Qwen3.7 Plus?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemma 4 31B or Qwen3.7 Plus be self-hosted?+
Gemma 4 31B is the only model in this pair currently marked as self-hostable. Gemma 4 31B is open weight; Qwen3.7 Plus is not marked open weight.
Can Gemma 4 31B and Qwen3.7 Plus understand images?+
Gemma 4 31B 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 31B or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and Qwen3.7 Plus is 131K.
Do Gemma 4 31B and Qwen3.7 Plus support reasoning and tool use?+
Gemma 4 31B: 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 31B or Qwen3.7 Plus?+
Gemma 4 31B has 5 sourced provider routes; Qwen3.7 Plus has 4, so Gemma 4 31B has broader tracked availability.
Which offers better value, Gemma 4 31B 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.