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BenchLM

Data as of September 30, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Jun 17, 20251M context

Gemini 2.5 Flash

Decision readingGemini 2.5 Flash scores 43.7 out of 100 and ranks #119 of 211. This profile shows 2 source-displayable benchmark rows. API pricing is $0.3 input and $2.5 output per million tokens, with cached input at $0.03.

Released Jun 17, 2025 — see all recent releases

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

43.7/100

field median 52.4#119 of 211 ranked models

Public

#119of 211

Verified #56 of 74

Price

$0.30input / $2.50 output

input median $1cached $0.030 · batch + cache $0.030 · blended $1.40

Speed

189tok/s

field median 89 tok/sFirst token 0.44 s

Context

1Mtokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

2 published rows leave some tracked benchmark slots empty.

Source-linked · 2 displayable benchmark rows

Follow model changes

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
AgenticWeight 22%0 benchmarksNot measured
Not measured
CodingWeight 20%0 benchmarksNot measured
Not measured
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeWeight 12%0 benchmarksNot measured
Not measured
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathRank Not rankedWeight 5%2 benchmarksVerified
28.6

2 of 495 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

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. AgenticNot measured
  2. CodingNot measured
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. KnowledgeNot measured
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. Math2/2 verified
Verified sourceProvisionalNot measured

Benchmark ledger

Math 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.

Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score4.844%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap84.2 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score4.167%Versus best verified row

Best verified: GPT-6 Astra · 97.600%

Gap93.4 behindWeightWeighted 10%

Bars run 0–100; the dark tick marks the best source-verified value

All 2 rows

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.

Current modelExplore all models

Gemini 2.5 Flash · 43.7 score · $1.40 blended per million tokens

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

30405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierGemini 2.5 Flash

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

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.

0242024-122026-042026-07Output priceInput price

3 dated first-party price records. The newest record lists $2.5 per million tokens.

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jun 17, 2025 · you are here

    Gemini 2.5 Flash

    Score 43.7 · $0.3 / $2.5

Base entry

Radar

Gemini 2.5 Flash release history

Full release history

Radar confirmed these at the source. Use Gemini 2.5 Flash in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

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-flashGoogle 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 $0.030 per million cached input tokensGoogle Gemini API pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

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 Flash ranks #119 of 211 on the public leaderboard with a score of 43.73/100. Its source-verified position is #56 of 74.

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

2 of 495 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated September 30, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Gemini 2.5 Flash perform overall in AI benchmarks?

Gemini 2.5 Flash ranks #119 out of 211 models on the public BenchAlign leaderboard, with a score of 43.73/100. Its evidence status is Supported, and this profile shows 2 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 Flash good for mathematics?

Gemini 2.5 Flash 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.

Does Gemini 2.5 Flash have full benchmark coverage on BenchLM?

No. Gemini 2.5 Flash currently has 14 source-displayable rows across 495 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 Flash?

Gemini 2.5 Flash 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.

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Compare Gemini 2.5 Flash with every tracked model636 comparisons