Qwen3 Coder Next Base vs Gemini 3.5 Flash
At a Glance
| Compare |  Gemini 3.5 FlashGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #15 of 4672.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #25 of 44$0.140 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #15 of 3856.8 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.50Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $9.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 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
Side-by-Side Facts
| Field | Qwen3-Coder-Next-Base | Gemini 3.5 Flash |
|---|---|---|
| Developer | Qwen | Google DeepMind |
| Family | Qwen3 Coder Next Base | Gemini 3 |
| Model | Qwen3-Coder-Next-Base | Gemini 3.5 Flash |
| Version | Qwen3-Coder-Next-Base | Gemini 3.5 Flash |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 79.7B | Unknown |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Qwen3 Coder Next Base Capabilities
Gemini 3.5 Flash Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | family variantstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3 Coder Next Base vs Gemini 3.5 Flash FAQs
Is Qwen3 Coder Next Base or Gemini 3.5 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next Base and Gemini 3.5 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
Only Gemini 3.5 Flash has a directly sourced input price: $1.50 per million tokens. Only Gemini 3.5 Flash has a directly sourced output price: $9.00 per million tokens.
Which has a larger context window, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
Gemini 3.5 Flash has the larger sourced context window. Qwen3 Coder Next Base supports 262K and Gemini 3.5 Flash supports 1,049K.
Which performs better in benchmarks, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3 Coder Next Base or Gemini 3.5 Flash be self-hosted?+
Qwen3 Coder Next Base is the only model in this pair currently marked as self-hostable. Qwen3 Coder Next Base is open weight; Gemini 3.5 Flash is not marked open weight.
Can Qwen3 Coder Next Base and Gemini 3.5 Flash understand images?+
Qwen3 Coder Next Base is not documented with image input; Gemini 3.5 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Gemini 3.5 Flash is 66K.
Do Qwen3 Coder Next Base and Gemini 3.5 Flash support reasoning and tool use?+
Qwen3 Coder Next Base: tool calling. Gemini 3.5 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
Qwen3 Coder Next Base has 0 sourced provider routes; Gemini 3.5 Flash has 2, so Gemini 3.5 Flash has broader tracked availability.
Which offers better value, Qwen3 Coder Next Base or Gemini 3.5 Flash?+
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.