# Gemini 3.5 Flash: pricing, crowd verdict, pros and cons (2026)

> Google's speed-tier flagship: beats Gemini 3.1 Pro on agentic coding at $1.50/$9, 3x pricier than 3 Flash

Source: [GLAD-AI-TOR](https://glad-ia-tor.com) · Full page: https://glad-ia-tor.com/tool/gemini-3-5-flash
Arena: llm-models · Crowd score: 50% recommend (0 votes, Bayesian-smoothed) · Price: $9.00/1M out

Google's fast multimodal reasoning model, released May 19, 2026 at Google I/O. Outperforms Gemini 3.1 Pro on agentic and coding benchmarks (Terminal-Bench 2.1 76.2%, GDPval-AA 1656 Elo) while generating output roughly 4x faster than other frontier models. 1M-token context window with adjustable thinking effort levels.

## Key facts

- provider: Google
- contextWindow: 1M tokens (1,048,576 in / 65,536 out)
- priceIn: $1.50/1M in
- priceOut: $9.00/1M out
- modalities: text, vision, audio, video, PDF in; text out
- openWeights: no

## Ratings (editorial, 1-5)

- reasoning: 3.5/5
- coding: 4/5
- writing: 3/5
- speed: 5/5
- valueForMoney: 4.5/5

## Pros

- Beats Gemini 3.1 Pro on agentic benchmarks: 76.2% Terminal-Bench 2.1, 1656 Elo GDPval-AA (vs 1314 for 3.1 Pro), 83.6% MCP Atlas
- Artificial Analysis Intelligence Index 50 at high thinking effort, ranking #10 of 170 tracked models
- Very fast generation (~185 output tokens/sec per Artificial Analysis); Google claims 4x faster output than other frontier models
- 1M-token context window (1,048,576) with multimodal input: text, image, audio, video, PDF
- 25% cheaper than Gemini 3.1 Pro ($1.50/$9 vs $2/$12) while outperforming it on production agent workloads
- Adjustable thinking effort (minimal/low/medium/high) plus 50% batch discount and $0.15/1M context caching

## Cons

- 3x price increase over Gemini 3 Flash ($0.50/$3.00) and 5-6x over 2.5 Flash; HN devs saw it as Google probing price tolerance
- Over-eager and verbose: devs report it ignores completion criteria and embellishes beyond instructions (compared to Claude's 'Sonnet 3.7 moment')
- Reliability complaints on Flash serving: developers report frequent 503 errors during peak periods
- Weaker on long-horizon agentic tasks with arbitrary tool availability, a recurring theme devs report with Google models
- High time-to-first-token (~23s at high thinking effort per Artificial Analysis), poor fit for latency-sensitive chat

## Best for

- coding agents
- agentic workflows at scale
- multimodal analysis (video, audio, PDF)
- fast reasoning on high-volume API traffic

## Verdict

Pick Gemini 3.5 Flash if you run agentic coding or high-volume multimodal pipelines and want near-Pro quality at 4x the speed: it actually beats Gemini 3.1 Pro on Terminal-Bench and GDPval while costing 25% less. Avoid it if you used the Flash line as a budget tier, since it costs 3x its predecessor Gemini 3 Flash, which remains the cheap option at $0.50/$3.00. Also skip it for latency-sensitive chat at high thinking effort (~23s to first token) or strict, no-embellishment output where its verbosity works against you.

## Pricing note

Paid tier flat rate $1.50/$9.00 per 1M; batch API 50% off ($0.75/$4.50), context caching $0.15/1M plus $1.00/1M per hour storage, free tier available

## Alternatives and head-to-heads

- [Claude Haiku 4.5](https://glad-ia-tor.com/tool/claude-haiku-4-5) (crowd score 67%) · [Gemini 3.5 Flash vs Claude Haiku 4.5](https://glad-ia-tor.com/vs/gemini-3-5-flash-vs-claude-haiku-4-5)
- [Claude Fable 5](https://glad-ia-tor.com/tool/claude-fable-5) (crowd score 63%) · [Gemini 3.5 Flash vs Claude Fable 5](https://glad-ia-tor.com/vs/gemini-3-5-flash-vs-claude-fable-5)
- [Claude Opus 4.7](https://glad-ia-tor.com/tool/claude-opus-4-7) (crowd score 57%) · [Gemini 3.5 Flash vs Claude Opus 4.7](https://glad-ia-tor.com/vs/gemini-3-5-flash-vs-claude-opus-4-7)
- [Claude Sonnet 5](https://glad-ia-tor.com/tool/claude-sonnet-5) (crowd score 57%) · [Gemini 3.5 Flash vs Claude Sonnet 5](https://glad-ia-tor.com/vs/gemini-3-5-flash-vs-claude-sonnet-5)

Full ranking: https://glad-ia-tor.com/hall-of-fame/llm-models

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