Gemini 3 Flash vs Gemini 3.8 Flash
At a Glance
| Compare |  Gemini 3 FlashGoogle DeepMind | Gemini 3.8 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #26 of 44$0.160 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.50Google AI ↗ · Aug 29, 2026 | $0.75Google AI ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $3.00Google AI ↗ · Aug 29, 2026 | $3.75Google AI ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 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 Flash | Gemini 3.8 Flash |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,442.4097% of row best · rating · gemini-3-flash (thinking-minimal); 95% CI [1439.30492660, 1445.49388279]; votes 85799; rank 61 | 1,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 6 |
| Overall ResultCounted from the protocol-matched rows above | 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 Flash | Gemini 3.8 Flash |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 3 | Gemini 3 |
| Model | Gemini 3 Flash | Gemini 3.8 Flash |
| Version | Gemini 3 Flash | Gemini 3.8 Flash |
| Lifecycle | preview | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | Unknown | Unknown |
| 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) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, code_execution, computer_use, generation, reasoning, structured_outputs, tools |
Gemini 3 Flash Capabilities
Gemini 3.8 Flash Capabilities
Related Comparisons
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|---|---|---|---|
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.7 FlashGoogle DeepMind | family variantstext |
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Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3 FlashGoogle DeepMind | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3 Flash vs Gemini 3.8 Flash FAQs
Is Gemini 3 Flash or Gemini 3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 Flash and Gemini 3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3 Flash or Gemini 3.8 Flash?+
Gemini 3 Flash is $0.50 and Gemini 3.8 Flash is $0.75 per million tokens, so Gemini 3 Flash is cheaper on this metric. Gemini 3 Flash is $3.00 and Gemini 3.8 Flash is $3.75 per million tokens, so Gemini 3 Flash is cheaper on this metric.
Which has a larger context window, Gemini 3 Flash or Gemini 3.8 Flash?+
Neither model has a larger sourced context window in this comparison. Gemini 3 Flash is 1,049K and Gemini 3.8 Flash is 1,049K.
Which performs better in benchmarks, Gemini 3 Flash or Gemini 3.8 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3 Flash or Gemini 3.8 Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3 Flash is not marked open weight; Gemini 3.8 Flash is not marked open weight.
Can Gemini 3 Flash and Gemini 3.8 Flash understand images?+
Gemini 3 Flash is documented with image input; Gemini 3.8 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3 Flash or Gemini 3.8 Flash?+
Neither has a larger sourced maximum output. Gemini 3 Flash is 66K and Gemini 3.8 Flash is 66K.
Do Gemini 3 Flash and Gemini 3.8 Flash support reasoning and tool use?+
Gemini 3 Flash: reasoning, tool calling, and image input. Gemini 3.8 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3 Flash or Gemini 3.8 Flash?+
Gemini 3 Flash has 2 sourced provider routes; Gemini 3.8 Flash has 2, a tie.
Which offers better value, Gemini 3 Flash or Gemini 3.8 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.