Gemini 3.5 Flash
Score awaiting verification
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.
No tier assessment yet. Models awaiting tier review remain in the catalog. An unassigned tier does not mean weaker capability.
Capabilities & Recommended Uses
Strengths
- •Large context window
- •Strong at understanding entire codebases
- •Good at multi-language tasks
- •Competitive pricing
Best For
- •Large codebase analysis
- •Documentation generation
- •Multi-file tasks
- •Google ecosystem
Weaknesses
- •Output pricing can add up
- •Less consistent on niche frameworks
Frequently Asked Questions
What is Gemini 3.5 Flash's coding score and ranking tier?
Gemini 3.5 Flash by google is rated as Tier Pending on ModelRank with a coding score of Score awaiting verification as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.
What is the API pricing and context window for Gemini 3.5 Flash?
Gemini 3.5 Flash features a 1,048,576 token context window. Pricing is $1.5 per 1M input tokens and $9 per 1M output tokens (OpenRouter quote).
What programming tasks is Gemini 3.5 Flash best suited for?
Gemini 3.5 Flash is recommended for: Large codebase analysis, Documentation generation, Multi-file tasks, Google ecosystem. Key strengths include: Large context window, Strong at understanding entire codebases, Good at multi-language tasks, Competitive pricing.
Try Gemini 3.5 Flash
Last updated: October 11, 2026