CrossModel
Gemini 2.5 Flash
gemini/gemini-2.5-flash
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Gemini 2.5 Flash

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gemini/gemini-2.5-flash

Google's balanced Gemini 2.5 model: a native-multimodal sparse MoE with a 1M-token window and optional thinking. It combines responsive generation and reasoning for high-volume processing and agentic workloads.

Modalities
TextImageAudioVideoText
Context
1M
Max output
66K
Price / 1M tokens
$ 0.30in$ 2.50out
StreamingTool callingJSON outputImage inputThinking mode · can be turned off

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorThe best price-performance Gemini 2.5 model for low-latency, high-volume and agentic tasks.source

Best for

  • High-volume reasoning · Optional thinking lets applications trade reasoning depth for latency and cost.(vendor claim)source

  • Multimodal analysis · It accepts text, image, audio and video across a 1M-token context.source

Neighbouring models
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Pricing and billing

Billed per token. Cached input is charged at the cache-read rate.

Price / 1M tokensYou pay
Input$ 0.30
Output$ 2.50
Cache read$ 0.030
Cache write$ 0.30
Estimate a request
$ 0.0080
Estimated cost per request
10.0K × $ 0.30
+ 2.0K × $ 2.50
≈ $ 8.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
65.5K tokens
Input / output modalities
Text + Image + Video + Audio → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· can be turned off
Reasoning effort
none · minimal · low · medium · high
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsai.google.dev 1storage.googleapis.com 2Capabilitiesai.google.dev

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Coding
  • SWE-Bench Verified
    resolved_rate·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, thinking.

    60.4%
Math reasoning
  • AIME 2025
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, thinking, single attempt.

    72%
Multimodal reasoning
  • MMMU
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, thinking, single attempt.

    79.7%
Reasoning
  • Humanity's Last Exam
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, thinking.

    11%
Scientific reasoning
  • GPQA Diamond
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, thinking, single attempt.

    82.8%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

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See all integration guides →

Frequently asked questions

What is Gemini 2.5 Flash?
Gemini 2.5 Flash is available on CrossModel as gemini/gemini-2.5-flash. It has a 1M-token context window and can return up to 66K tokens per request.
How much does Gemini 2.5 Flash cost?
Currently $ 0.30 per 1M input tokens and $ 2.50 per 1M output tokens. Cached input is billed at $ 0.030 per 1M.
Does Gemini 2.5 Flash support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.