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Model comparison

Gemini 2.5 Pro vs Gemini 3.7 Flash

Two Google tiers compared on the figures that decide which one a workload actually needs.

Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Google

Gemini 2.5 Pro

Balanced

vs

Google

Gemini 3.7 Flash

Budget

AI model capability comparison
SpecificationGemini 2.5 ProGemini 3.7 Flash
ProviderGoogleGoogle
TierBalancedBudget
Context window1.05M1.05M
Max output66K66K
Input / 1M tokens$1.25Winner: $0.75
Output / 1M tokens$10Winner: $3.75
WeightsClosedClosed
ParametersNot disclosedUnverifiedNot disclosedUnverified
Reasoning levelslow, medium, highlow, medium, high
Modalitiestext, image, video, audio, pdftext, image, video, audio, pdf
API model idgemini-2.5-progemini-3.7-flash
ReleasedJune 17, 2025August 13, 2026
Artificial Analysis Intelligence Index (2026-08-14)47Not verifiedUnverified
Artificial Analysis Intelligence Index [high] (2026-08-14)Not verifiedUnverified56
Terminal-Bench 2.1 (2026-08)Not verifiedUnverified85.8
DeepSWE 1.1 (2026-08)Not verifiedUnverified65.3
Humanity's Last Exam (2026-08)Not verifiedUnverified53.6

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
  • 2026-08: Google DeepMind model evaluation report (vendor, HLE-Verified full set)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.

Pricing tiers: Gemini 2.5 Pro: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. · Gemini 3.7 Flash: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input.

BalancedRecord checked September 2, 2026

Gemini 2.5 Pro

Gemini 2.5 Pro is Google's previous-generation Pro with a 1.05M-token context and strong multimodal support.

Best for

  • Long documents
  • Multimodal input
  • Google Workspace integration

Watch out

A generation behind Gemini 3.x; verify on your workload.

BudgetRecord checked September 5, 2026

Gemini 3.7 Flash

Gemini 3.7 Flash is Google's efficiency-first multimodal Flash (3.8 Flash of 2026-09-02 is newer and stronger; Google keeps 3.7 for cost-focused routes).

Best for

  • High-volume multimodal
  • Agent loops
  • Cost-sensitive work

Watch out

Intro pricing doubles on 2027-01-01; lock rates if deploying long-term.

When the cheaper one wins

Gemini 3.7 Flash is cheaper on output at $3.75 per million tokens against $10 for Gemini 2.5 Pro — about 2.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 6 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Gemini 2.5 Pro · Gemini 3.7 Flash

Common questions

Gemini 2.5 Pro vs Gemini 3.7 Flash

Answered from the verified figures on this page rather than general guidance.

Is Gemini 2.5 Pro or Gemini 3.7 Flash cheaper for input?

Gemini 3.7 Flash is cheaper at $0.75 per million input tokens, against $1.25 for Gemini 2.5 Pro — roughly 1.7× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 2.5 Pro has tiered pricing: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. Gemini 3.7 Flash has tiered pricing: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input.

Is Gemini 2.5 Pro or Gemini 3.7 Flash cheaper for output?

Gemini 3.7 Flash is cheaper at $3.75 per million output tokens, against $10 for Gemini 2.5 Pro — roughly 2.7× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 2.5 Pro has tiered pricing: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed. Gemini 3.7 Flash has tiered pricing: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input.

Which has the larger context window, Gemini 2.5 Pro or Gemini 3.7 Flash?

Both accept about 1.05M tokens of context, so document length will not decide between them.

Do Gemini 2.5 Pro and Gemini 3.7 Flash support the same reasoning levels?

Yes — both accept the same effort settings: "low", "medium", "high". Higher effort costs more and takes longer, so start low and raise it only where output quality actually improves.

Should I use Gemini 2.5 Pro or Gemini 3.7 Flash?

Gemini 2.5 Pro is the balanced tier and Gemini 3.7 Flash the budget tier. The useful question is whether your hardest task actually fails on the cheaper one — most production volume such as classification, extraction and summarisation does not.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Gemini 3.7 Flash costs $0.75 per 1M tokens versus $1.25 for Gemini 2.5 Pro — a 1.7x difference at the headline tier.
  • Measured capability: Gemini 3.7 Flash leads Artificial Analysis Intelligence Index 56 to 47 (measured 2026-08-14).
  • Positioning: Gemini 2.5 Pro sits in the balanced tier, Gemini 3.7 Flash in the budget tier — most production volume (classification, extraction, summarisation) does not need the pricier tier.
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