Gemini 2.5 Pro model profile

Profile facts

Profile type

Model research profile

Provider or publisher

Google

Context window

1,048,576 tokens

Snapshot date

2026-09-06

Knowledge cutoff

2025-01-31

Reference catalog ID

google/gemini-2.5-pro

When to pick Gemini 2.5 Pro

Gemini 2.5 Pro is a reference profile: Google publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the input is speech. The snapshot records audio input, so recordings can go to this route rather than being transcribed first.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
• Look elsewhere when the request is trivial and latency-sensitive. Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency.

Context, modalities, and identity

Gemini 2.5 Pro accepts text, image, file, audio, and video and returns text. The snapshot records audio input, file input, prompt caching, reasoning controls, structured output, text generation, tool calling, video input, vision, and web search pricing as capabilities or interfaces.

Provider or publisher

Google

Context window

1,048,576 tokens

Maximum output

65,536 tokens

Input modalities

text, image, file, audio, and video

Output modalities

text

Knowledge cutoff

2025-01-31

Model overview

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.

Reference model ID

google/gemini-2.5-pro

Canonical version

google/gemini-2.5-pro

Hugging Face ID

Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

include_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p

• audio input
• file input
• prompt caching
• reasoning controls
• structured output
• text generation
• tool calling
• video input
• vision
• web search pricing

Dated pricing snapshot

The dated reference snapshot lists $0.625 input and $5 output per million tokens. Cached input is $0.0625 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date

2026-09-06

Input

$0.625 per 1M tokens

Cached input

$0.0625 per 1M tokens

Output

$5 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 7 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

2

Best p50 latency

2.05 s

Best p50 throughput

90 tok/s

Availability with routing

98.87% over the sampled window

Availability without routing

96.81% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 1 Artificial Analysis index, 6 Design Arena categories, and AutoExacto results for 5 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Coding Index

33.3

AutoExacto coverage

5 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

Gemini 2.5 Pro ranked #92 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#92

Global market share

Not inferred

Observation date

2026-09-06

Frequently asked questions

Sources and evidence dates

1. Gemini 2.5 Pro third-party catalog record (catalog, checked 2026-09-06)
2. Third-party model catalog methodology (methodology, checked 2026-09-06)
3. Google official model documentation (primary, checked 2026-09-06)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)
5. Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)
6. Gemini 2.5 Pro third-party catalog record (benchmark, checked 2026-09-06)