Qwen3.5 35B A3B Base vs Gemma 4 31B
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #22 of 5754.3 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 18.1–84.8 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.20Deepinfra ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.40Deepinfra ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 262K | 262K |
| Model facts checked | Aug 28, 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 | Qwen3.5-35B-A3B-Base | Gemma 4 31B |
|---|---|---|
| Developer | Qwen | Google DeepMind |
| Family | Qwen3 5 35b A3b Base | Gemma 4 |
| Model | Qwen3.5-35B-A3B-Base | Gemma 4 31B |
| Version | Qwen3.5-35B-A3B-Base | Gemma 4 31B |
| Lifecycle | active | active |
| Released | Unknown | 2026-03-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 36B | 31B |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, structured_outputs, tools |
Qwen3.5 35B A3B Base Capabilities
Gemma 4 31B Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  Qwen3.8-27BQwen | family variantsimage, text | |
| vs |  Ministral-3-14B-Base-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-3B-Base-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-8B-Instruct-2512Mistral AI | cross-developer peersimage, text | |
| vs | cross-developer peerstext | ||
Qwen3-Coder-NextQwen | vs | family variantstext | |
| vs | family variantstext | ||
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B Base vs Gemma 4 31B FAQs
Is Qwen3.5 35B A3B Base or Gemma 4 31B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B Base and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B Base or Gemma 4 31B?+
Only Gemma 4 31B has a directly sourced input price: $0.20 per million tokens. Only Gemma 4 31B has a directly sourced output price: $0.40 per million tokens.
Which has a larger context window, Qwen3.5 35B A3B Base or Gemma 4 31B?+
Both models have the same sourced context window: 262,144 tokens each.
Which performs better in benchmarks, Qwen3.5 35B A3B Base 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 Qwen3.5 35B A3B Base or Gemma 4 31B be self-hosted?+
Both models have the same sourced self-hosting status: supported. Qwen3.5 35B A3B Base is open weight; Gemma 4 31B is open weight.
Can Qwen3.5 35B A3B Base and Gemma 4 31B understand images?+
Qwen3.5 35B A3B Base is 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, Qwen3.5 35B A3B Base or Gemma 4 31B?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Qwen3.5 35B A3B Base and Gemma 4 31B support reasoning and tool use?+
Qwen3.5 35B A3B Base: tool calling and image input. Gemma 4 31B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B Base or Gemma 4 31B?+
Qwen3.5 35B A3B Base has 0 sourced provider routes; Gemma 4 31B has 5, so Gemma 4 31B has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B Base 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.