Prototype · closed beta
unOpen.AI
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Gemini · Google
Gemini 3.8 Flash.
Gemini 3.8 Flash is a Google model, released on 2 September 2026. It takes text, images, video, files and audio and returns text, with a 1.05 million-token context window. Artificial Analysis scores it 30.5 on its Intelligence Index, number 2 of 3 rated Gemini models.
- Hosted API
- 1.05M context
Specification
- Provider
- Family
- Gemini
- Released
- 2 September 2026
- Catalogue id
- google/gemini-3.8-flash
- Context window
- 1.05 million tokens
- Maximum output
- 65,536 tokens
- Inputs and output
- Text, images, video, files and audio in; text out
- Capabilities
- Tool calling, structured outputs and adjustable reasoning
- Weights
- Not published — hosted API
- Listed price
- $0.825 input, $4.13 output, $0.083 cached input per million tokens
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: Gemini 3.8 Flash in the OpenRouter catalogue, checked weekly. Confirm current terms in Google's own documentation before you commit.
INDEPENDENT RATINGS
How Gemini 3.8 Flash scores.
Measured by Artificial Analysis on its own evaluation suite, at every reasoning setting it tested.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 56.0
- Gemini 4 Argon
- 50.4
- Gemini 3.8 Flash
- 30.5
- Gemini 3.5 Flash Lite
- 11.7
Each model at its best reasoning setting. The index combines reasoning, knowledge, maths and coding evaluations; it does not show cost, latency or data residency.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 65.0
- Claude Opus 5.5
- 58.4
- GPT-6 Astra
- 56.9
- Muse Wonder Full
- 49.7
- Kimi K3.1 Pro
- 46.0
- Gemini 3.8 Flash
- 30.5
The highest-rated model of each other family we cover, at its best reasoning setting.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the providers.
BY REASONING SETTING
More thinking, more cost.
The same model tested at each reasoning effort. Higher settings usually score better and answer more slowly; measure which one your task needs.
| Criterion | Intelligence | Tokens / s | First token (s) | Blended $ / M |
|---|---|---|---|---|
| High | 30.5 | 126 | 18.2 | $1.50 |
| Medium | 30.0 | — | — | $1.50 |
| Low | 22.3 | — | — | $1.50 |
BENCHMARKS
Benchmark by benchmark.
Score (%) at its best reasoning setting · Higher is better · Linear scale from 0 to 100.0
- GPQA Diamond (science)
- 95.3
- Humanity's Last Exam
- 47.8
- SciCode
- 56.6
- Terminal-Bench 4.0 (agentic coding)
- 19.7
- Terminal-Bench 2.1
- 87.6
- τ²-Bench Banking
- 45.0
- AA-LCR (long-context reasoning)
- 81.3
Each evaluation run by Artificial Analysis under its published methodology. Scores on public benchmarks can overstate performance on your own data.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
What it costs
Price the whole answer.
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $12.38 on Gemini 3.8 Flash. A thousand requests of 2,000 input and 500 output tokens each costs $3.71. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
THE REST OF THE FAMILY
Other Gemini models.
Every Gemini model in the catalogue. Our Gemini page covers where the family fits and how we evaluate it.
| Gemini 3.8 Flash | 2 Sep 2026 | 30.5 | 126 | 1.05M | $0.825 | $4.13 |
|---|---|---|---|---|---|---|
| Gemini 4 Argon | 30 Sep 2026 | 50.4 | 80 | 1.05M | $2.00 | $10.00 |
| Gemini 3.7 Flash | 13 Aug 2026 | — | — | 1.05M | $0.750 | $3.75 |
| Gemini 3.5 Flash Lite | 21 Jul 2026 | 11.7 | 399 | 1.05M | $0.300 | $2.50 |
| Gemini 3.6 Flash | 21 Jul 2026 | — | — | 1.05M | $0.750 | $3.75 |
| Gemini 3.5 Flash | 19 May 2026 | — | — | 1.05M | $1.50 | $9.00 |
| Gemini 3.1 Flash Lite | 3 Mar 2026 | — | — | 1.05M | $0.250 | $1.50 |
| Gemini 3.1 Flash Lite Preview | 3 Mar 2026 | — | — | 1.05M | $0.250 | $1.50 |
| Gemini 3.1 Pro Preview Custom Tools | 25 Feb 2026 | — | — | 1.05M | $2.00 | $12.00 |
| Gemini 3.1 Pro Preview | 19 Feb 2026 | — | 139 | 1.05M | $2.00 | $12.00 |
| Gemini 3 Flash Preview | 17 Dec 2025 | — | — | 1.05M | $0.500 | $3.00 |
| Gemini 2.5 Flash Lite | 17 Jun 2025 | — | — | 1.05M | $0.100 | $0.400 |
| Gemini 2.5 Flash | 20 May 2025 | — | — | 1.05M | $0.300 | $2.50 |
| Gemini 2.5 Pro | 5 Jun 2025 | — | — | 1.05M | $1.25 | $10.00 |
| Gemini 2.5 Pro Preview 06-05 | 5 Jun 2025 | — | — | 1.05M | $1.25 | $10.00 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Questions
Questions about Gemini 3.8 Flash.
When was Gemini 3.8 Flash released?
Gemini 3.8 Flash was released on 2 September 2026, according to Artificial Analysis.
What is the context window of Gemini 3.8 Flash?
1.05 million tokens, with up to 65,536 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
How much does Gemini 3.8 Flash cost?
The catalogue lists $0.825 per million input tokens and $4.13 per million output tokens, and $0.083 per million cached input tokens (checked 30 October 2026). Google's own rates, batch discounts and cloud marketplaces can differ.
How does Gemini 3.8 Flash rate against other Gemini models?
Artificial Analysis gives it 30.5 on its Intelligence Index at its best reasoning setting, number 2 of the 3 Gemini models it rates. A composite score is a shortlist tool; your own task decides.
Can Gemini 3.8 Flash run on our own hardware?
The catalogue lists no published weights for it, so it is used as a hosted API. Where data may not leave your infrastructure, an open-weight model is the alternative.
