Gemini 3.5 Flash vs Qwen3.8 Max
At a Glance
| Compare |  Gemini 3.5 FlashGoogle DeepMind |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #15 of 4672.1 score · 3/3 sources · complete | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | #25 of 44$0.140 per LiveBench case | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #15 of 3856.8 score · 3/3 sources · complete | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.50Google AI ↗ · Aug 29, 2026 | $1.65Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $9.00Google AI ↗ · Aug 29, 2026 | $4.951Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 29, 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 | Gemini 3.5 Flash | Qwen3.8-Max |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,475.72100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1471.24691172, 1480.19960285]; votes 36627; rank 19 | 1,480.55100% of row best · rating · qwen3.8-max; 95% CI [1474.79040793, 1486.31846927]; votes 16670; rank 14 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,307.0099% of row best · rating · gemini-3.5-flash-medium; 95% CI [1299.26365925, 1314.72946839]; votes 9618; rank 11 | 1,315.33100% of row best · rating · qwen3.8-max; 95% CI [1307.40892164, 1323.25970514]; votes 8665; rank 6 |
| LiveBench2026-06-25 · overall · leader | 78.8496% of row best · percent · gemini-3.5-flash-high · 15,522 output tokens / case | 81.88100% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.5891% of row best · points · Gemini 3.5 Flash (high thinking) · 16,743 output tokens / case | 83.32100% of row best · points · Qwen3.8 Max · 22,888 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Gemini 3.5 Flash | Qwen3.8-Max |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemini 3 | Qwen3 8 Max |
| Model | Gemini 3.5 Flash | Qwen3.8-Max |
| Version | Gemini 3.5 Flash | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | Unknown | 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, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools, vision |
Gemini 3.5 Flash Capabilities
Qwen3.8 Max Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash vs Qwen3.8 Max FAQs
Is Gemini 3.5 Flash or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 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 3.5 Flash or Qwen3.8 Max?+
Gemini 3.5 Flash is $1.50 and Qwen3.8 Max is $1.65 per million tokens, so Gemini 3.5 Flash is cheaper on this metric. Gemini 3.5 Flash is $9.00 and Qwen3.8 Max is $4.951 per million tokens, so Qwen3.8 Max is cheaper on this metric.
Which has a larger context window, Gemini 3.5 Flash or Qwen3.8 Max?+
Gemini 3.5 Flash has the larger sourced context window. Gemini 3.5 Flash supports 1,049K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Gemini 3.5 Flash or Qwen3.8 Max?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemini 3.5 Flash or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Gemini 3.5 Flash and Qwen3.8 Max understand images?+
Gemini 3.5 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 3.5 Flash or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Gemini 3.5 Flash supports 66K and Qwen3.8 Max supports 131K output tokens.
Do Gemini 3.5 Flash and Qwen3.8 Max support reasoning and tool use?+
Gemini 3.5 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 3.5 Flash or Qwen3.8 Max?+
Gemini 3.5 Flash has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Gemini 3.5 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.