Gemini 3.7 Flash vs Gemini 3.8 Flash

Select two models to compare their coding performance, pricing, and features.

Key Takeaways

Coding tier: Gemini 3.8 Flash has a higher reference index on the selected shared benchmark configuration than Gemini 3.7 Flash (111.92 vs 111.28, a 0.64-point difference). This does not by itself establish general coding superiority. Editorial tiers: Gemini 3.7 Flash = A+; Gemini 3.8 Flash = A+. Tiers are separate editorial assessments and do not establish a reliable order within a tier.
API cost estimate: Estimated 1M in / 200K out tokens: $1.5000 (Gemini 3.7 Flash) vs $1.5000 (Gemini 3.8 Flash).
Metric Gemini 3.7 Flash Gemini 3.8 Flash
Coding Index
111.28
111.92
Coding tier A+ A+
Input Price $0.75/1M $0.75/1M
Output Price $3.75/1M $3.75/1M
Context Window 1.05M 1.05M

Coding Index

Coding Index · Reference baseline: 100

Gemini 3.7 Flash 111.28
Gemini 3.8 Flash 111.92

Integer index difference: 0.64

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Verdict

Both models share an editorial tier. The evidence does not establish a reliable order within it; compare them on your own projects.

Capabilities & Use Cases Comparison

Gemini 3.7 Flash Tier A+

Best For
  • •Coding assistance
  • •Multi-step reasoning
Strengths
  • •Multimodal input
  • •Fast agentic workflows

Gemini 3.8 Flash Tier A+

Best For
  • •Software engineering
  • •Agentic workflows
Strengths
  • •Multimodal input
  • •Improved software engineering and agentic capabilities

Gemini 3.7 Flash

OpenRouter quote 2026-10-11
Benchmark evidence and ranking method · Gemini 3.7 Flash

Cross-checked

Terminal-Bench 4.0 · mini-SWE-agent · high: 11.21% · 95% CI ± 2.45%

Artificial Analysis · Gemini 3.7 Flash (high)

Test configuration: high

Terminal-Bench 2.1: 85.77% · SciCode: 57.18%

LiveBench · 2026-06-25 · gemini-3.7-flash-high

Coding: 78.89% · Agentic Coding: 58.28%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

Gemini 3.8 Flash

OpenRouter quote 2026-10-11
Benchmark evidence and ranking method · Gemini 3.8 Flash

Cross-checked

Terminal-Bench 4.0 · mini-SWE-agent · high: 19.09% · 95% CI ± 3.36%

Artificial Analysis · Gemini 3.8 Flash (high)

Test configuration: high

Terminal-Bench 2.1: 87.64% · SciCode: 56.60%

LiveBench · 2026-06-25 · gemini-3.8-flash-high

Coding: 72.49% · Agentic Coding: 54.24%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

API cost estimate

1M input + 200K output (USD):

Gemini 3.7 Flash: $1.5000

Gemini 3.8 Flash: $1.5000

Estimates use the displayed channel and time band; DeepSeek uses peak rates. Cache discounts, tool fees, long-context price tiers and uncounted additional tokens are excluded.

Frequently Asked Questions

Which model is better for coding: Gemini 3.7 Flash or Gemini 3.8 Flash?

Gemini 3.8 Flash has a higher reference index on the selected shared benchmark configuration than Gemini 3.7 Flash (111.92 vs 111.28, a 0.64-point difference). This does not by itself establish general coding superiority. Editorial tiers: Gemini 3.7 Flash = A+; Gemini 3.8 Flash = A+. Tiers are separate editorial assessments and do not establish a reliable order within a tier.

How do Gemini 3.7 Flash and Gemini 3.8 Flash compare in API pricing and costs?

Gemini 3.7 Flash: $0.75/1M input, $3.75/1M output (OpenRouter quote); Gemini 3.8 Flash: $0.75/1M input, $3.75/1M output (OpenRouter quote). 1M input + 200K output (USD): $1.5000 vs $1.5000.

What are the context window sizes of Gemini 3.7 Flash and Gemini 3.8 Flash?

Gemini 3.7 Flash provides a 1,048,576 token context window, while Gemini 3.8 Flash provides 1,048,576 tokens.

Try Gemini 3.7 Flash → Try Gemini 3.8 Flash →