Gemini 3.8 Flash
Most intelligent workhorse model with enhanced reasoning and coding
Context window
1M
Input / 1M tokens
$0.75
Output / 1M tokens
$3.75
Provider
Data verified 2026-09-03
Gemini 3.8 Flash delivers significant improvements over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. It performs additional reasoning steps and iterative tool calling on complex tasks. The model maintains a 1M token context window with multimodal input support.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Available to Google AI Pro and Ultra subscribers via Gemini app, AI Mode in Google Search, Gemini in Google Sheets. Developers can access via Google AI Studio, Gemini API, and Google Antigravity.
Strengths
- ✓Long-horizon software engineering
- ✓Agentic automation and workflows
- ✓Multi-step reasoning in specialized domains
- ✓Cost-efficient frontier-level performance
Best for developers who...
When to choose it (and when not to)
Reach for Gemini 3.8 Flash when...
- →When better completion rates justify higher token consumption
- →For complex, multi-step reasoning tasks
- →Agentic workflows requiring iterative tool use
Look elsewhere if...
- ✕Latency-sensitive applications
- ✕High-concurrency pipelines
- ✕Tightly budgeted inference workloads
How to use it
- ›Leverage effort levels to trade quality vs cost/latency
- ›Use for agent-first workflows
- ›Suitable for long-running agentic loops
Quickstart
Pythonimport anthropic
client = anthropic.Anthropic(api_key="your-google-api-key")
response = client.messages.create(
model="gemini-3.8-flash",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.content)Access via Google AI Studio or Gemini API
API model id: gemini-3.8-flash
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| DeepSWE v1.1 | Outperforms most larger frontier models | Long-horizon software engineering benchmark |
| HLE-Verified | 54.9% | Multi-step reasoning across STEM, humanities, and professional fields |
| Vals Finance Agent V2 | Beats 3.7 Flash and frontier models | Financial analysis benchmark |
| Harvey Legal Agent Benchmark | Tops previous iterations | Legal domain benchmark |
Source: Google Official Announcement
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