Gemini 3.6 Flash vs Gemini 3.8 Flash
At a Glance
| Compare | Gemini 3.6 FlashGoogle DeepMind | Gemini 3.8 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #19 of 4666.4 score · 3/3 sources · complete | #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 | #11 of 44$0.055 per LiveBench case | #26 of 44$0.160 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #5 of 3863.7 score · 3/3 sources · complete | #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 | $0.75Google AI ↗ · Aug 29, 2026 | $0.75Google AI ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google 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 3.6 Flash | Gemini 3.8 Flash |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -5.9490% of row best · score · Gemini 3.6 Flash (High); 95% CI [-6.96648084, -4.90883694]; sessions 20773; observations 1181765; rank 39 | 4.71100% of row best · score · Gemini 3.8 Flash (High); 95% CI [2.80246501, 6.61533867]; sessions 12534; observations 712246; rank 13 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,476.1499% of row best · rating · gemini-3.6-flash-high; 95% CI [1471.32576175, 1480.95948376]; votes 26445; rank 18 | 1,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 6 |
| LiveBench2026-06-25 · overall · leader | 78.0597% of row best · percent · gemini-3.6-flash-high · 14,746 output tokens / case | 80.85100% of row best · percent · gemini-3.8-flash-high · 42,786 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.25100% of row best · points · Gemini 3.6 Flash (high thinking) · 10,929 output tokens / case | 77.8299% of row best · points · Gemini 3.8 Flash (high thinking) · 13,616 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
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 3.6 Flash | Gemini 3.8 Flash |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 3 | Gemini 3 |
| Model | Gemini 3.6 Flash | Gemini 3.8 Flash |
| Version | Gemini 3.6 Flash | Gemini 3.8 Flash |
| Lifecycle | active | 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 3.6 Flash Capabilities
Gemini 3.8 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini 3.6 Flash vs Gemini 3.8 Flash FAQs
Is Gemini 3.6 Flash or Gemini 3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.6 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 3.6 Flash or Gemini 3.8 Flash?+
Gemini 3.6 Flash is $0.75 and Gemini 3.8 Flash is $0.75 per million tokens, so they are tied on this metric. Gemini 3.6 Flash is $3.75 and Gemini 3.8 Flash is $3.75 per million tokens, so they are tied on this metric.
Which has a larger context window, Gemini 3.6 Flash or Gemini 3.8 Flash?+
Neither model has a larger sourced context window in this comparison. Gemini 3.6 Flash is 1,049K and Gemini 3.8 Flash is 1,049K.
Which performs better in benchmarks, Gemini 3.6 Flash or Gemini 3.8 Flash?+
Gemini 3.8 Flash leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.6 Flash or Gemini 3.8 Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.6 Flash is not marked open weight; Gemini 3.8 Flash is not marked open weight.
Can Gemini 3.6 Flash and Gemini 3.8 Flash understand images?+
Gemini 3.6 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 3.6 Flash or Gemini 3.8 Flash?+
Neither has a larger sourced maximum output. Gemini 3.6 Flash is 66K and Gemini 3.8 Flash is 66K.
Do Gemini 3.6 Flash and Gemini 3.8 Flash support reasoning and tool use?+
Gemini 3.6 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 3.6 Flash or Gemini 3.8 Flash?+
Gemini 3.6 Flash has 2 sourced provider routes; Gemini 3.8 Flash has 2, a tie.
Which offers better value, Gemini 3.6 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.