Gemini 2.5 Pro Legacy
Gemini 2.5 Pro is a model from Google, listed under Language models. It was released in June 2025. It costs $1.25 per million input tokens and $10.00 per million output tokens. It costs less than 50% of the 87 available models in its category. It accepts up to 1.05M tokens per request. Prices as of Oct 22, 2026, from the provider's official pricing page.
Still available, but superseded by a newer model.
- Headline price
- $3.44 / 1M tokens ▲ 100% from Jan 1, 2027
- Input
- $1.25 per 1M tokens
- Output
- $10.00 per 1M tokens
- Context window
- 1.05M tokens
- Max output
- 66k
- Knowledge cutoff
- Jan 2025
Current prices
| Item | Price |
|---|---|
| Input | $1.25 / 1M tokens |
| Output | $10.00 / 1M tokens |
| Cached input | $0.125 / 1M tokens |
| Input Above 200k tokens | $2.50 / 1M tokens |
| Output Above 200k tokens | $15.00 / 1M tokens |
| Cached input Above 200k tokens | $0.25 / 1M tokens |
Scheduled change: input becomes $2.50 / 1M tokens on Jan 1, 2027.
Checked against the provider page on Oct 22, 2026.
Price history
Every published change, from the date it took effect. A faded line is a change announced but not yet in force.
Show data
| Date | Value |
|---|---|
| 2026-10-22 | $1.25 |
| 2027-01-01 (scheduled) | $2.50 |
Show data
| Date | Value |
|---|---|
| 2026-10-22 | $10.00 |
| 2027-01-01 (scheduled) | $20.00 |
Show data
| Date | Value |
|---|---|
| 2026-10-22 | $0.13 |
| 2027-01-01 (scheduled) | $0.25 |
How it compares
Show data
| Model | Value |
|---|---|
| GPT-5 nano | $0.1375 / 1M tokens |
| DeepSeek V4 Flash 0731 | $0.1488 / 1M tokens |
| Gemini 2.5 Flash-Lite | $0.175 / 1M tokens |
| GPT-4.1 nano | $0.175 / 1M tokens |
| Claude Haiku 5.5 | $0.20 / 1M tokens |
| GPT-6 Luna | $0.20 / 1M tokens |
| GPT-6 Luna Pro | $0.20 / 1M tokens |
| GPT-4o Mini | $0.2625 / 1M tokens |
| DeepSeek V4 Flash Vision Exp | $0.3234 / 1M tokens |
| GPT-5.6 Luna | $0.45 / 1M tokens |
| GPT-5.4 nano | $0.4625 / 1M tokens |
| DeepSeek V4.1 Flash | $0.525 / 1M tokens |
| Gemini 3.1 Flash-Lite | $0.5625 / 1M tokens |
| GPT-5 Mini | $0.6875 / 1M tokens |
| GPT-4.1 Mini | $0.70 / 1M tokens |
| Mistral Large 4 | $0.75 / 1M tokens |
| GPT-3.5 Turbo | $0.75 / 1M tokens |
| Qwen3.8 27B | $0.775 / 1M tokens |
| Gemini 3.5 Flash-Lite | $0.85 / 1M tokens |
| Gemini 2.5 Flash | $0.85 / 1M tokens |
| Gemini 3 Flash | $1.13 / 1M tokens |
| Grok Build 0.1 | $1.25 / 1M tokens |
| Gemini 3.8 Flash | $1.50 / 1M tokens |
| Gemini 3.7 Flash | $1.50 / 1M tokens |
| Gemini 3.6 Flash | $1.50 / 1M tokens |
| Grok 4.3 | $1.56 / 1M tokens |
| Grok 4.20 Reasoning | $1.56 / 1M tokens |
| Grok 4.20 Non-Reasoning | $1.56 / 1M tokens |
| Grok 4.20 Multi-Agent | $1.56 / 1M tokens |
| GPT-5.4 Mini | $1.69 / 1M tokens |
| o3-mini | $1.93 / 1M tokens |
| o4-mini | $1.93 / 1M tokens |
| DeepSeek V4 Pro | $1.98 / 1M tokens |
| GPT-6.1 Terra | $2.00 / 1M tokens |
| GPT-6.1 Terra Pro | $2.00 / 1M tokens |
| Claude Haiku 4.5 | $2.00 / 1M tokens |
| Grok 4.7 | $3.00 / 1M tokens |
| Qwen3.8 2.4T A95B | $3.00 / 1M tokens |
| Grok 4.6 | $3.00 / 1M tokens |
| Grok 4.5 | $3.00 / 1M tokens |
| Gemini Omni Flash | $3.38 / 1M tokens |
| GPT-5 | $3.44 / 1M tokens |
| GPT-5.1 | $3.44 / 1M tokens |
| o3 | $3.50 / 1M tokens |
| GPT-4.1 | $3.50 / 1M tokens |
| Claude Sonnet 5.5 | $4.00 / 1M tokens |
| GPT-6.1 Sol | $4.00 / 1M tokens |
| Gemini 4 Argon | $4.00 / 1M tokens |
| GPT-6 Sol | $4.00 / 1M tokens |
| GPT-6 Sol Pro | $4.00 / 1M tokens |
| GPT-6.1 Sol Pro | $4.00 / 1M tokens |
| Kimi K3.1 Pro | $4.00 / 1M tokens |
| Claude Sonnet 5 | $4.00 / 1M tokens |
| GPT-4o | $4.38 / 1M tokens |
| GPT-5.6 Terra | $4.50 / 1M tokens |
| Gemini 3.1 Pro | $4.50 / 1M tokens |
| GPT-5.2 | $4.81 / 1M tokens |
| GPT-5.3-Codex | $4.81 / 1M tokens |
| GPT-5.4 | $5.63 / 1M tokens |
| Qwen3.8 Max Prime | $6.00 / 1M tokens |
| Claude Sonnet 4.6 | $6.00 / 1M tokens |
| Claude Sonnet 4.5 | $6.00 / 1M tokens |
| Claude Opus 5.5 | $8.00 / 1M tokens |
| GPT-5.6 Sol | $8.00 / 1M tokens |
| Claude Opus 5 | $10.00 / 1M tokens |
| Claude Opus 4.8 | $10.00 / 1M tokens |
| Claude Opus 4.7 | $10.00 / 1M tokens |
| Claude Opus 4.6 | $10.00 / 1M tokens |
| Claude Opus 4.5 | $10.00 / 1M tokens |
| Chat Latest | $11.25 / 1M tokens |
| GPT-5.5 | $11.25 / 1M tokens |
| GPT-4 Turbo | $15.00 / 1M tokens |
| Claude Fable 5.1 | $20.00 / 1M tokens |
| GPT-6 Astra | $20.00 / 1M tokens |
| Claude Mythos 5.1 | $20.00 / 1M tokens |
| GPT-6 Astra Pro | $20.00 / 1M tokens |
| Claude Fable 5 | $20.00 / 1M tokens |
| Claude Mythos 5 | $20.00 / 1M tokens |
| o1 | $26.25 / 1M tokens |
| o3-pro | $35.00 / 1M tokens |
| GPT-4 | $37.50 / 1M tokens |
| GPT-5 Pro | $41.25 / 1M tokens |
| GPT-5.2 Pro | $57.75 / 1M tokens |
| GPT-5.4 Pro | $67.50 / 1M tokens |
| GPT-5.5 Pro | $67.50 / 1M tokens |
| o1-pro | $263 / 1M tokens |
| Gemini 2.5 Pro | $3.44 / 1M tokens |
Show data
| Model | Value |
|---|---|
| GPT-6 Astra | 1.05M |
| GPT-6.1 Sol | 1.05M |
| GPT-6 Luna | 1.05M |
| GPT-6 Sol | 1.05M |
| GPT-5.6 Sol | 1.05M |
| GPT-5.6 Terra | 1.05M |
| GPT-5.6 Luna | 1.05M |
| GPT-6 Astra Pro | 1.05M |
| GPT-6 Luna Pro | 1.05M |
| GPT-6 Sol Pro | 1.05M |
| GPT-6.1 Sol Pro | 1.05M |
| GPT-6.1 Terra | 1.05M |
| GPT-6.1 Terra Pro | 1.05M |
| GPT-5.4 | 1.05M |
| GPT-5.4 Pro | 1.05M |
| GPT-5.5 | 1.05M |
| GPT-5.5 Pro | 1.05M |
| Gemini 4 Argon | 1.05M |
| Gemini 3.8 Flash | 1.05M |
| Gemini Omni Flash | 1.05M |
| Muse Wonder | 1.05M |
| Gemini 3.5 Flash-Lite | 1.05M |
| Gemini 3.7 Flash | 1.05M |
| DeepSeek V4 Flash 0731 | 1.05M |
| Muse Spark 1.3 | 1.05M |
| Kimi K3.1 Pro | 1.05M |
| Qwen3.8 2.4T A95B | 1.05M |
| Gemini 3.1 Pro | 1.05M |
| DeepSeek V4 Flash Vision Exp | 1.05M |
| Gemini 3.6 Flash | 1.05M |
| Gemini 3.1 Flash-Lite | 1.05M |
| Gemini 3 Flash | 1.05M |
| Gemini 2.5 Flash | 1.05M |
| Gemini 2.5 Flash-Lite | 1.05M |
| Muse Spark 1.1 | 1.05M |
| Muse Spark 1.2 | 1.05M |
| GPT-4.1 | 1.05M |
| GPT-4.1 Mini | 1.05M |
| GPT-4.1 nano | 1.05M |
| Claude Fable 5.1 | 1M |
| Claude Opus 5.5 | 1M |
| Claude Sonnet 5.5 | 1M |
| Claude Haiku 5.5 | 1M |
| Grok 4.3 | 1M |
| DeepSeek V4 Pro | 1M |
| DeepSeek V4.1 Flash | 1M |
| Kimi K3 | 1M |
| Claude Mythos 5.1 | 1M |
| Grok 4.20 Reasoning | 1M |
| Grok 4.20 Non-Reasoning | 1M |
| Grok 4.20 Multi-Agent | 1M |
| Z.ai GLM 5.3 (on Mistral) | 1M |
| Qwen3.8 27B | 1M |
| Qwen3.8 Max Prime | 1M |
| Mistral Large 4 | 1M |
| Claude Fable 5 | 1M |
| Claude Mythos 5 | 1M |
| Claude Opus 5 | 1M |
| Claude Sonnet 5 | 1M |
| Claude Opus 4.8 | 1M |
| Claude Opus 4.7 | 1M |
| Claude Opus 4.6 | 1M |
| Claude Sonnet 4.6 | 1M |
| Grok 4.7 | 500k |
| Grok 4.6 | 500k |
| Grok 4.5 | 500k |
| GPT-5.6 Cyber | 400k |
| Chat Latest | 400k |
| GPT-5 | 400k |
| GPT-5 Mini | 400k |
| GPT-5 nano | 400k |
| GPT-5 Pro | 400k |
| GPT-5.2 | 400k |
| GPT-5.2 Pro | 400k |
| GPT-5.4 Mini | 400k |
| GPT-5-Codex | 400k |
| GPT-5.1 | 400k |
| GPT-5.1-Codex | 400k |
| GPT-5.1-Codex Mini | 400k |
| GPT-5.1-Codex-Max | 400k |
| GPT-5.2-Codex | 400k |
| GPT-5.3-Codex | 400k |
| GPT-5.4 nano | 400k |
| Grok Build 0.1 | 256k |
| Mistral Medium 3.5 | 256k |
| Mistral Small 4 | 256k |
| Ministral 3 14B | 256k |
| Ministral 3 8B | 256k |
| Ministral 3 3B | 256k |
| Command A | 256k |
| Command A Reasoning | 256k |
| North Mini Code | 256k |
| Kimi K2.7 Code | 256k |
| Mistral Large 3 | 256k |
| Kimi K2.6 | 256k |
| Claude Opus 4.5 | 200k |
| Claude Haiku 4.5 | 200k |
| o3 | 200k |
| o3-pro | 200k |
| Claude Sonnet 4.5 | 200k |
| codex-mini-latest | 200k |
| o1 | 200k |
| o1-pro | 200k |
| o3-deep-research | 200k |
| o3-mini | 200k |
| o4-mini | 200k |
| o4-mini-deep-research | 200k |
| gpt-oss-120b | 131k |
| gpt-oss-20b | 131k |
| Command A+ | 128k |
| Codestral | 128k |
| Aya Expanse 32B | 128k |
| Command A Vision | 128k |
| Command R7B | 128k |
| Command R (08-2024) | 128k |
| Command R+ (08-2024) | 128k |
| ChatGPT-4o | 128k |
| GPT-4 Turbo | 128k |
| GPT-4 Turbo Preview | 128k |
| GPT-4.5 Preview | 128k |
| GPT-4o | 128k |
| GPT-4o Mini | 128k |
| GPT-4o Mini Search Preview | 128k |
| GPT-4o Search Preview | 128k |
| GPT-5 Chat | 128k |
| GPT-5.1 Chat | 128k |
| GPT-5.2 Chat | 128k |
| GPT-5.3 Chat | 128k |
| o1 Preview | 128k |
| o1-mini | 128k |
| Command R | 128k |
| Command R+ | 128k |
| Voxtral Small | 32k |
| GPT-3.5 Turbo | 16k |
| babbage-002 | 16k |
| davinci-002 | 16k |
| Aya Vision 32B | 16k |
| computer-use-preview | 8k |
| GPT-4 | 8k |
| Tiny Aya Earth | 8k |
| Tiny Aya Global | 8k |
| Gemini 2.5 Pro | 1.05M |
Benchmarks
| Benchmarks | Score |
|---|---|
| Intelligence Index Artificial Analysis's composite score across about ten independent evaluations (reasoning, knowledge, coding, agentic work, long context), run the same way for every model. The strongest models score in the 50s. | 16.1 |
| Terminal-Bench Hard Hard command-line tasks (building software, configuring systems, fixing environments) completed autonomously in a real terminal. A direct test of agentic coding. | 26.5% |
| SciCode Writing code to solve research-level problems in physics, chemistry, biology and maths, checked by tests. | 46.3% |
| GPQA Diamond Graduate-level questions in biology, physics and chemistry, written to be resistant to web search. PhD holders in the relevant field score around 65%, so scores above that indicate genuine domain reasoning rather than recall. | 84.4% |
| Humanity's Last Exam About 2,500 expert-written questions at the frontier of human knowledge across maths, science and the humanities. Even the best models answer well under two thirds. | 22.5% |
| IFBench (instruction following) Precise, verifiable formatting and content constraints the model has not seen in training. Measures how faithfully it follows instructions. | 48.7% |
| τ²-Bench (agentic tool use) Simulated customer-support conversations where the model must use tools and follow policy while a simulated user acts on their side. Measures reliable multi-turn tool use. | 54.1% |
| MMMU-Pro (visual reasoning) College-level questions that require reading charts, diagrams and figures, with distractors that defeat text-only guessing. | 74.9% |
| Long-context reasoning (AA-LCR) Questions that require reasoning across several long documents at once (around 100k tokens), not just finding one passage. | 69% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index. Source
Alternatives
Same category, closest price, other providers first.
More from Google
| # | Model | Input | Output | Context | Released | Capabilities | Price change |
|---|---|---|---|---|---|---|---|
| 1 |
Gemini 4 Argon
Google
|
$2.00 | $10.00 | 1.05M | October 2026 | VisionReasoningTool calling | ▲ 100% from Dec 1 |
| 2 |
Gemini 3.8 Flash
Google
|
$0.75 | $3.75 | 1.05M | September 2026 | VisionReasoningTool calling | ▲ 100% from Jan 1, 2027 |
| 3 |
Gemini Omni Flash
Google
|
$1.50 | $9.00 | 1.05M | August 2026 | VisionReasoningTool callingAudio input | ▲ 100% from Jan 1, 2027 |
| 4 |
Gemini 3.5 Flash-Lite
Google
|
$0.30 | $2.50 | 1.05M | July 2026 | VisionReasoningTool calling | ▲ 100% from Jan 1, 2027 |
| 5 |
Gemma 4
Google
|
No data | No data | No data | No data | Self-hostable | |
| 6 |
Gemini 3.7 Flash
Google
|
$0.75 | $3.75 | 1.05M | Aug 13, 2026 | VisionReasoningTool calling |
Price change: green or red is a change made in the last 60 days; amber is an increase or cut the provider has announced but not yet applied.
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Frequently asked questions
How much does Gemini 2.5 Pro cost?
Gemini 2.5 Pro is priced at input $1.25 / 1M tokens, output $10.00 / 1M tokens, cached input $0.125 / 1M tokens, according to Google's published pricing (checked Oct 22, 2026).
What is the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro accepts up to 1.05M tokens per request. It can write up to 66k tokens in one response.
Is Gemini 2.5 Pro still available?
Yes, but Google lists it as a legacy model and recommends newer ones.
When was Gemini 2.5 Pro released?
Gemini 2.5 Pro was released in June 2025.
What is the API model ID for Gemini 2.5 Pro?
Use gemini-2.5-pro when calling the Google API.
What are the alternatives to Gemini 2.5 Pro?
Models in the same category at a similar price include Grok 4.7 (xAI), Qwen3.8 2.4T A95B (Alibaba Cloud (Qwen)), Claude Sonnet 5.5 (Anthropic) and GPT-6.1 Sol (OpenAI).