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Gemini 2.5 Pro

EstablishedReleased March 2025ProprietaryNon-Reasoning1M context

Released March 2025 see all recent releases

Decision reading
Gemini 2.5 Pro scores 56.9 out of 100 and ranks #98 of 230. This profile shows 7 source-displayable benchmark rows; its strongest eligible category is Agentic at #77. API pricing is $1.25 input and $10 output per million tokens, with cached input at $0.125.

Data as of September 2, 2026 · How the score is built

Strongest published evidence

Agentic ranks #77. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

7 published rows leave some tracked benchmark slots empty. Coding is its lowest eligible category at #138.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

56.9/100

field median 59.1

#98 of 230 ranked models

Price

$1.25input / $10 output

input median $1

cached $0.13 · batch + cache $0.13 · blended $5.63

Speed

123tok/s

field median 90 tok/s

First token 24.06 s

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Gemini 2.5 Pro category percentile values

  • Agentic46th percentile
  • Coding7th percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#77/143
  2. Coding#138/148
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelGemini 2.5 Pro · 56.9 score · $5.63 blended per million tokens
405060708090$0.50$1$5$10$25↘ frontierGemini 2.5 Pro

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. Knowledge1/2 verified
  5. Math2/2 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
gemini-2.5-proGoogle Gemini API pricing
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.13 per million cached input tokensGoogle Gemini API pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #77 of 143Percentile 46thWeight 22%1 benchmarkVerified48.2
CodingRank #138 of 148Percentile 7thWeight 20%2 benchmarksVerified35.6
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%2 benchmarksMixed sources21.7
MathRank Not rankedWeight 5%2 benchmarksVerified35.4
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore63.8%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap32.2 behindWeightWeighted 16%
Vibe Code BenchVibe Code Bench v1.1Score0.40%Versus best verified row

Best verified: Claude Opus 4.7 · 71.00%

Gap70.6 behindWeightDisplay only
Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
Gert LabsGert Labs Composite Game BenchmarkScore42.01%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap31 behindWeightDisplay only
Benchmark exact
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore18.8%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap46.2 behindWeightWeighted 45%
GPQAGraduate-Level Google-Proof Q&AScore83%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap12.5 behindWeightWeighted 7%
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score14.138%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap74.9 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score4.167%Versus best verified row

Best verified: GPT-5.6 Sol · 83.000%

Gap78.8 behindWeightWeighted 10%

Published price history

This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.

06122025-062026-042026-07Output priceInput price

3 dated first-party price records. The newest record lists $10 per million tokens.

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. March 2025 · you are here

    Gemini 2.5 Pro

    Score 56.9 · $1.25 / $10

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Gemini 2.5 Pro ranks #98 of 230 on the public leaderboard with a score of 56.94/100. Its source-verified position is #50 of 105.

Gemini 2.5 Pro is a proprietary model with a 1M context window. No explicit reasoning mode is documented in this profile.

7 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #77, while its lowest eligible position is Coding at #138. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

Gemini 2.5 Pro release history

Full release history

Radar confirmed these at the source. Already tracking Gemini 2.5 Pro? See the free Radar Brief for what changes next.

Frequently asked questions

How does Gemini 2.5 Pro perform overall in AI benchmarks?

Gemini 2.5 Pro ranks #98 out of 230 models on the public BenchAlign leaderboard, with a score of 56.94/100. Its evidence status is Supported, and this profile shows 7 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Gemini 2.5 Pro good for knowledge and understanding?

Gemini 2.5 Pro has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Gemini 2.5 Pro good for coding and programming?

Gemini 2.5 Pro ranks #138 out of 148 eligible models for coding and programming, with a public category score of 35.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Gemini 2.5 Pro good for mathematics?

Gemini 2.5 Pro has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Gemini 2.5 Pro good for agentic tool use and computer tasks?

Gemini 2.5 Pro ranks #77 out of 143 eligible models for agentic tool use and computer tasks, with a public category score of 48.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Does Gemini 2.5 Pro have full benchmark coverage on BenchLM?

No. Gemini 2.5 Pro currently has 24 source-displayable rows across 416 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Gemini 2.5 Pro?

Gemini 2.5 Pro has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare Gemini 2.5 Pro with every tracked model409 comparisons

Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.

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