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Side-by-side reference

Gemini 2.5 Pro vs DeepSeek R1 (historical)

Side-by-side reference for Google Gemini 2.5 Pro (verified from Google's official model and pricing pages) and the historical DeepSeek R1 line. R1 is no longer in DeepSeek's current API model parameter list — the current reasoning model is DeepSeek V4 Pro — so the DeepSeek row here renders unverified for most metrics. This page does not declare a winner.

Data freshness: last checked 8 d ago · updated 2026-05-21

At a glance

Attributes

AttributeGemini 2.5 ProDeepSeek R1-0528 (historical)
ProviderGoogleDeepSeek
Snapshot dateData not yet verified.2025-05-28src
Context window (tokens)1,048,576srcData not yet verified.
Max output (tokens)65,536srcData not yet verified.
Modalitytext-in, image-in, audio-in, video-in, text-outsrcData not yet verified.
Lifecycleactivesrcretiredsrc

This table compares verified attributes only; cells with no verified value display the canonical unverified-data label. WebmasterID Models does not declare a winner.

Reference

First-party pricing references

Per-unit rates published by each model's creator on their own first-party API. Rows are source-backed references, not live quotes. Hosted-provider references (Groq, Together) render separately below where available.

Pricing is volatile and may change after retrieval. Treat prices as source-backed references, not live quotes. Prices are shown as source-backed references only. WebmasterID Models does not rank models or billing providers by price.

Gemini 2.5 Pro

UnitPrice (USD)
1M input tokens$1.25src
1M input tokens (>200k context)$2.50src
1M output tokens$10.00src
1M output tokens (>200k context)$15.00src
1M cache write tokens (5m)$0.13src
1M cache write tokens (>200k context)$0.25src
1M cache storage / hour$4.50src
1M batch input tokens$0.63src
1M batch input tokens (>200k context)$1.25src
1M batch output tokens$5.00src
1M batch output tokens (>200k context)$7.50src

DeepSeek R1-0528 (historical)

Data not yet verified.

Capability

Benchmarks

Gemini 2.5 Pro

Data not yet verified.

DeepSeek R1-0528 (historical)

Data not yet verified.

Where to use

Use cases

  • Multimodal understanding (Gemini 2.5 Pro accepts audio, image, video, and PDF inputs per Google AI docs)
  • Historical / reference reading — DeepSeek R1 family is no longer in the current API model parameter list
  • Cost-sensitive reasoning workloads (see the current Gemini 2.5 Pro vs DeepSeek V4 Pro pairing for a like-for-like view)

API surface

API usage differences

Endpoint shape, model parameter position, and request body conventions for each provider. Shown for reference, not as a recommendation.

Gemini 2.5 Pro

Google

Endpoint
POST https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent
Model parameter
URL path segment
Canonical ID
gemini-2.5-pro

See the model page for a full documentation-style example request and the citation it derives from.

DeepSeek R1-0528 (historical)

DeepSeek

Endpoint
—
Model parameter
—
Canonical ID
—

See the model page for a full documentation-style example request and the citation it derives from.

Caveats

Limitations of this comparison

  • DeepSeek R1 is documented as historical only; the current DeepSeek reasoning model is `deepseek-v4-pro`. For a fully two-sided current pairing see /compare/claude-opus-4-7-vs-deepseek-v4-pro.
  • Only the Gemini 2.5 Pro side has been verified against primary sources; the DeepSeek R1 row remains historical/structural.
  • WebmasterID Models does not declare a winner; readers should compare verified facts against their own workload.

Source trail

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini 2.5 Pro model docs

    Per-model specification page for gemini-2.5-pro (model code, token limits, supported input types, knowledge cutoff, supported features).

  • Official pricingRetrieved 2026-05-20Fresh
    Google AI — Gemini pricing

    Gemini API pricing reference — standard, batch, flex, and priority tiers with ≤200k vs >200k-token pricing.

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini API quickstart

    Quickstart with REST endpoint shape, model parameter format, request body, and Python/JS SDK examples.

  • Official docsRetrieved 2026-05-21Fresh
    DeepSeek — R1-0528 release announcement

    Historical release note for DeepSeek-R1-0528 (May 28, 2025). Used to anchor the historical deepseek-r1 catalogue entry — R1 family is not in the current API model parameter set.

  • Official docsRetrieved 2026-05-20Fresh
    DeepSeek — Chat completion API reference

    DeepSeek chat completion API reference — endpoint, model parameter values (deepseek-v4-flash, deepseek-v4-pro), minimal request body.

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