Gemini 3.8 Flash vs Inkling
At a Glance
| Compare |  Gemini 3.8 FlashGoogle DeepMind | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0 | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #26 of 44$0.160 per LiveBench case | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4 | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Sep 2, 2026 | $0.95Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Sep 2, 2026 | $4.05Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Sep 2, 2026View model evidence → | Sep 3, 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 3.8 Flash | Inkling |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 4.71100% of row best · score · Gemini 3.8 Flash (High); 95% CI [2.80246501, 6.61533867]; sessions 12534; observations 712246; rank 13 | -10.0286% of row best · score · Inkling; 95% CI [-10.93664189, -9.10513108]; sessions 42313; observations 1624204; rank 42 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 6 | 1,439.6896% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 |
| LiveBench2026-06-25 · overall · leader | 80.85100% of row best · percent · gemini-3.8-flash-high · 42,786 output tokens / case | 76.4795% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 77.8298% of row best · points · Gemini 3.8 Flash (high thinking) · 13,616 output tokens / case | 79.41100% of row best · points · Inkling · 5,785 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
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 3.8 Flash | Inkling |
|---|---|---|
| Developer | Google DeepMind | Thinking Machines Lab |
| Family | Gemini 3 | Inkling |
| Model | Gemini 3.8 Flash | Inkling |
| Version | Gemini 3.8 Flash | Inkling |
| Lifecycle | active | active |
| Released | 2026-09-02 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | Unknown | 975B |
| Active parameters | Unknown | 41B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, code_execution, computer_use, generation, reasoning, structured_outputs, tools | agents, chat, coding, generation, reasoning, tools, vision |
Gemini 3.8 Flash Capabilities
Inkling Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash vs Inkling FAQs
Is Gemini 3.8 Flash or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash or Inkling?+
Gemini 3.8 Flash is $0.75 and Inkling is $0.95 per million tokens, so Gemini 3.8 Flash is cheaper on this metric. Gemini 3.8 Flash is $3.75 and Inkling is $4.05 per million tokens, so Gemini 3.8 Flash is cheaper on this metric.
Which has a larger context window, Gemini 3.8 Flash or Inkling?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash is 1,049K and Inkling is 1,049K.
Which performs better in benchmarks, Gemini 3.8 Flash or Inkling?+
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 3.8 Flash or Inkling be self-hosted?+
Inkling is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash is not marked open weight; Inkling is open weight.
Can Gemini 3.8 Flash and Inkling understand images?+
Gemini 3.8 Flash is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash or Inkling?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash is 66K and Inkling is —.
Do Gemini 3.8 Flash and Inkling support reasoning and tool use?+
Gemini 3.8 Flash: reasoning, tool calling, and image input. Inkling: 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 Inkling?+
Gemini 3.8 Flash has 2 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, Gemini 3.8 Flash or Inkling?+
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.