Gemini 3.8 Flash API
google/gemini-3.8-flash is the lowest-priced Flash id of Google's current 3.x generation in the NextModel catalog: $0.75 per million input tokens, $3.75 per million output tokens, $0.08 per million cache hits, and a 1,000,000 token context window. That is exactly half the published row of gemini-3.6-flash and gemini-3.7-flash ($1.50 / $7.50 / $0.15). The trade is integration: the catalog lists this id on the gemini API surface only, so OpenAI SDK chat-completions code must either move to the Gemini request shape or pick a different id — google/gemini-3.6-flash takes both surfaces at the higher rate. Capabilities listed are Thinking, Function Calling, and Vision. No first-party benchmark scores or latency band are published for this id.
What is Gemini 3.8 Flash API in NextModel?
google/gemini-3.8-flash is the lowest-priced Flash id of Google's current 3.x generation in the NextModel catalog: $0.75 per million input tokens, $3.75 per million output tokens, $0.08 per million cache hits, and a 1,000,000 token context window. That is exactly half the published row of gemini-3.6-flash and gemini-3.7-flash ($1.50 / $7.50 / $0.15). The trade is integration: the catalog lists this id on the gemini API surface only, so OpenAI SDK chat-completions code must either move to the Gemini request shape or pick a different id — google/gemini-3.6-flash takes both surfaces at the higher rate. Capabilities listed are Thinking, Function Calling, and Vision. No first-party benchmark scores or latency band are published for this id.
Gemini 3.8 Flash via NextModel: 1M-token context; $0.75 / 1M tokens in / $3.75 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
Best use cases
- Gemini-shape codebases that want current-generation Flash pricing at $0.75 / $3.75 per million tokens — half of what 3.6 and 3.7 publish.
- Repeated-context jobs — long instructions, recurring document sets — that can earn the listed $0.08 per million cache-hit rate, half of the 3.6/3.7 cache row.
- Vision or tool-call workloads that need a Thinking entry below a $1.00 input rate: this row lists Thinking, Function Calling, and Vision, while gemini-3.1-flash-lite's row lists only Vision and Function Calling at $0.25 / $1.50.
When not to use
- OpenAI SDK chat-completions code you will not adapt: this id is gemini-only, and the mismatch surfaces at request time, not at signup. Use google/gemini-3.6-flash if the both-surface row matters more than the price.
- Absolute price-floor traffic: gemini-3.1-flash-lite lists $0.25 / $1.50 per million tokens, and deepseek/deepseek-v4-flash lists $0.14 / $0.28.
- Pipelines that require Streaming or Structured Outputs entries on the catalog row: this id lists Thinking, Function Calling, and Vision only.
OpenAI-compatible code example
curl https://api.nextmodel.app/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-d '{"model":"google/gemini-3.8-flash","messages":[{"role":"user","content":"Reply with OK."}]}'Switching models only changes the model field.
Similar alternatives
Claude Fable 5.1 via NextModel: 1M-token context; $10 / 1M tokens in / $50 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
GPT-6 AstraNew
GPT-6 Astra via NextModel: 1.1M-token context; Starting at $10 / 1M tokens in / $50 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
Qwen3.8-Flash via NextModel: 1M-token context; $0.12 / 1M tokens in / $0.4 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
Reading
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FAQ
Gemini 3.8 Flash API questions
What model id and endpoint do I send for Gemini 3.8 Flash?
Send google/gemini-3.8-flash to the Gemini surface under https://api.nextmodel.app/v1/gemini. The catalog lists this id on the gemini API only — it is not on the OpenAI-compatible chat completions endpoint. OpenAI SDK code should either use the Gemini request shape or switch to google/gemini-3.6-flash, which serves both surfaces.
What does the catalog list for price and context?
$0.75 per million input tokens, $3.75 per million output tokens, and $0.08 per million cache hits. Context window: 1,000,000 tokens. Every line is half of gemini-3.6-flash and gemini-3.7-flash's published row.
What should I treat as unverified?
Latency band and first-party benchmark scores are unpublished for this id. The Thinking, Function Calling, and Vision entries come from the catalog row, and the catalog publishes no quality scores behind them.
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