High-throughput multimodal work with video, audio, and PDF ingestion
How Gemini 3.6 Flash compares
The nearest models people weigh against it, and what actually separates them.
vs Gemini 2.5 Pro — Against Gemini 2.5 Pro (Google), Gemini 3.6 Flash runs about 60% cheaper per token and answers faster. Take Gemini 3.6 Flash unless you specifically need what Gemini 2.5 Pro does better.
vs Gemini 2.5 Pro Preview 05-06 — Against Gemini 2.5 Pro Preview 05-06 (Google), Gemini 3.6 Flash runs about 60% cheaper per token and answers faster. Take Gemini 3.6 Flash unless you specifically need what Gemini 2.5 Pro Preview 05-06 does better.
vs Gemini 3.5 Flash — Against Gemini 3.5 Flash (Google), Gemini 3.6 Flash runs about 57% cheaper per token. Take Gemini 3.6 Flash unless you specifically need what Gemini 3.5 Flash does better.
Price History
Gemini 3.6 Flash pricing over time
→0% since Aug 7
37 data points · tracked daily since Aug 7, 2026
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Cost-efficient long-horizon agents and computer use. Start free — no card required.
Gemini 2.5 Pro is Google's flagship reasoning-capable model with a massive 1M token context window, designed for complex analysis, coding, and multimodal tasks. It balances frontier-level intelligence with competitive mid-tier pricing.
Verdict
The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
Quality score
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
1.0M tokens
Pricing shown is for prompts under 200K tokens; inputs over 200K tokens are billed at $2.50/1M input and $15/1M output. Gemini 2.5 Pro includes built-in 'thinking' (reasoning) mode which can increase latency and cost further.
FlagshipLong ContextMultimodalReasoningGoogle
Best for
Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
Gemini 2.5 Pro Preview 05-06 is Google's latest frontier reasoning model featuring a massive 1M token context window and strong multimodal capabilities. It targets developers and researchers needing deep analytical power with competitive pricing relative to its capability tier.
Verdict
The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget.
Quality score
86%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Deliberate
2/5 speed
Context
1.0M tokens
This is a preview model (05-06 date suffix indicates a versioned snapshot); Google may deprecate or change it without long notice. Confirm production readiness before building critical pipelines on this endpoint. The 1M context window applies to text and multimodal inputs combined.
Long ContextReasoningMultimodalFrontierPreview
Best for
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
Verdict
Excellent fast agentic model, superseded by Gemini 3.6 Flash.
Quality score
89%
Pricing
$1.50/1M in
$9.00/1M out
Speed
Fast
4/5 speed
Context
1.0M tokens
Released at Google I/O, May 19, 2026. Batch API half price; context caching $0.15/1M. 65,536-token output limit.
Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens on the API, with cached input at $0.075 per million. A month of 10M input and 2M output tokens runs about $15.00 at list price, before any batch or caching discounts.
What is the context window of Gemini 3.6 Flash?
Gemini 3.6 Flash has a 1M tokens context window, with up to 64k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of Gemini 3.6 Flash?
Gemini 3.6 Flash's training data runs through March 2026, and the model was released on July 21, 2026. For anything after that date it needs web search or documents in the prompt.
What is Gemini 3.6 Flash best for?
Gemini 3.6 Flash is best for cost-efficient long-horizon agents and computer use. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
When should I avoid Gemini 3.6 Flash?
You need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks.
What is a cheaper alternative to Gemini 3.6 Flash?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Gemini 3.6 Flash's $0.75/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Gemini 3.6 Flash's pricing is the thing stopping you.
What is a faster alternative to Gemini 3.6 Flash?
Gemini 2.5 Pro — balanced against Gemini 3.6 Flash's fast, with 1.0M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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