Gemini 3.8 Flash vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemini 3.8 Flash | 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 | Gemini 3.8 Flash | Qwen3.8-Max |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemini 3 | Qwen3 8 Max |
| Model | Gemini 3.8 Flash | Qwen3.8-Max |
| Version | Gemini 3.8 Flash | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-09-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, code_execution, computer_use, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools, vision |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Gemini 3.8 Flash Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
Related Comparisons
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash vs Qwen3.8 Max FAQs
Is Gemini 3.8 Flash or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash or Qwen3.8 Max?+
Gemini 3.8 Flash is $0.75 and Qwen3.8 Max is $1.65 per million tokens, so Gemini 3.8 Flash is cheaper on this metric. Gemini 3.8 Flash is $3.75 and Qwen3.8 Max is $4.951 per million tokens, so Gemini 3.8 Flash is cheaper on this metric.
Which has a larger context window, Gemini 3.8 Flash or Qwen3.8 Max?+
Gemini 3.8 Flash has the larger sourced context window. Gemini 3.8 Flash supports 1,049K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Gemini 3.8 Flash 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 Gemini 3.8 Flash or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Gemini 3.8 Flash and Qwen3.8 Max understand images?+
Gemini 3.8 Flash 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, Gemini 3.8 Flash or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Gemini 3.8 Flash supports 66K and Qwen3.8 Max supports 131K output tokens.
Do Gemini 3.8 Flash and Qwen3.8 Max support reasoning and tool use?+
Gemini 3.8 Flash: 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, Gemini 3.8 Flash or Qwen3.8 Max?+
Gemini 3.8 Flash has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Gemini 3.8 Flash 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.