Gemini 3.7 Flash vs Gemini 3.8 Flash

As of October 21, 2026, Gemini 3.7 Flash and Gemini 3.8 Flash cost the same: $0.75 per 1M input tokens and $3.75 per 1M output tokens, and both have a 1M-token context window.

Prices from LiteLLM's price fileChecked October 21, 2026

Gemini 3.7 Flash vs Gemini 3.8 Flash side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of October 21, 2026.
	Gemini 3.7 Flash	Gemini 3.8 Flash
Input, per 1M tokens	$0.75	$0.75
Output, per 1M tokens	$3.75	$3.75
Cache read, per 1M tokens	$0.075	$0.075
Cache write, per 1M tokens	–	–
Context window	1,048,576 tokens	1,048,576 tokens
Max output	65,536 tokens	65,536 tokens
Image input	Yes	Yes
Tool calling	Yes	Yes
Structured output (JSON)	Yes	Yes
Prompt caching	Yes	Yes
Reasoning	Yes	Yes
Providers on LiteLLM	7	5
Price shown is from	Google AI Studio	Google AI Studio
Added to LiteLLM	August 13, 2026	September 2, 2026

Cheapest provider for each

Gemini 3.7 Flash: Google AI Studio at $0.75 input and $3.75 output per 1M tokens (gemini/gemini-3.7-flash)
Gemini 3.8 Flash: Google AI Studio at $0.75 input and $3.75 output per 1M tokens (gemini/gemini-3.8-flash)

Benchmark scores

From the Epoch AI Benchmarking Hub (CC BY 4.0), data as of September 2, 2026. Some results were run by Epoch and others collected by Epoch from each benchmark's own leaderboard, linked in the first column. Each model's best reported reasoning setting is shown in brackets. Higher is better. Only benchmarks with a score for both models are shown.
Benchmark	Gemini 3.7 Flash	Gemini 3.8 Flash
Overall
Epoch Capabilities Index	158.0	157.4
Coding and agents
FrontierCode	43.6%	41.2% (medium)
FrontierSWE	20.3% (high)	19.6% (high)
APEX-Agents	67.8%	64.3%
Reasoning and knowledge
GPQA Diamond	94.8% (high)	95.4% (high)
ARC-AGI-2	84.6% (high)	89.2% (high)
SimpleQA Verified	69.2% (high)	69.7% (high)
Math
FrontierMath (tiers 1-3)	71.6% (high)	68.4% (high)
FrontierMath (tier 4)	36.6% (high)	22.0% (high)
OTIS Mock AIME 2024-2025	97.2% (high)	98.9% (high)

Call Gemini 3.7 Flash or Gemini 3.8 Flash with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK

from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# Gemini 3.7 Flash
response = completion(model="gemini/gemini-3.7-flash", messages=messages)

# Gemini 3.8 Flash
response = completion(model="gemini/gemini-3.8-flash", messages=messages)

# Gemini 3.7 Flash, falling back to Gemini 3.8 Flash if the call fails
response = completion(model="gemini/gemini-3.7-flash", messages=messages, fallbacks=["gemini/gemini-3.8-flash"])

FAQ

Which is cheaper, Gemini 3.7 Flash or Gemini 3.8 Flash?

They cost the same: $0.75 per 1M input tokens and $3.75 per 1M output tokens, as of October 21, 2026.

Which has the larger context window, Gemini 3.7 Flash or Gemini 3.8 Flash?

Both have a 1,048,576-token context window.

Can I switch from Gemini 3.7 Flash to Gemini 3.8 Flash without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gemini/gemini-3.7-flash" to "gemini/gemini-3.8-flash", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.