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AI Choice Engine

Model comparison

Gemini 2.5 Pro vs GPT-6 Sol

Google against OpenAI, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Google

Gemini 2.5 Pro

Balanced

vs

OpenAI

GPT-6 Sol

Balanced

AI model capability comparison
SpecificationGemini 2.5 ProGPT-6 Sol
ProviderGoogleOpenAI
TierBalancedBalanced
Context window1.05MWinner: 1.05M
Max output66KWinner: 128K
Input / 1M tokensWinner: $1.25$2
Output / 1M tokens$10$10
WeightsClosedClosed
ParametersNot disclosedUnverifiedGPT-6 mid-price tier
Reasoning levelslow, medium, highnone, low, medium, high, xhigh, max
Modalitiestext, image, video, audio, pdftext, image
API model idgemini-2.5-progpt-6-sol
ReleasedJune 17, 2025September 22, 2026
Artificial Analysis Intelligence Index (2026-09-26)16.1Not verifiedUnverified
Artificial Analysis Intelligence Index [max] (2026-09-26)Not verifiedUnverified47.5
DeepSWE 1.1 [max] (2026-09-22)Not verifiedUnverified68.8
OSWorld 2.0 (offline) [xhigh] (2026-09-22)Not verifiedUnverified60.5
Terminal-Bench 4.0 [max] (2026-09-26)Not verifiedUnverified43.9

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

Where each score comes from, and how far it can be compared across models.

  • 2026-09-26
    Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)

    Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.

    Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.

  • 2026-09-26
    Artificial Analysis

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.

  • 2026-09-22
    OpenAI — Introducing GPT-6 Sol and Luna (vendor)

    Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.

    Directly comparable

Pricing tiers

Gemini 2.5 Pro: $1.25/$10 per MTok (≤200K); $2.50/$15 (>200K). Legacy but still widely listed.

GPT-6 Sol: Replaces GPT-5.6 Sol at 50% of its $4/$20 promo price. Cached input $0.20/MTok; cache writes $2.50 (1.25x). Above 272K input the whole request bills $4/$15 ($0.40 cached). Batch/Flex $1/$5; Fast mode $4/$20. Knowledge cutoff Apr 20 2026. Launched in the API, ChatGPT Work and Codex the same day.

BalancedRecord checked September 26, 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

Since 2026-09-18 Google limits Gemini API access to existing 2.5 users (new projects are pointed to 3.8 Flash or 3.5 Flash-Lite); the Gemini API deprecations page shows no shutdown date — check Vertex AI's lifecycle page separately.

BalancedRecord checked September 26, 2026

GPT-6 Sol

GPT-6 Sol brings GPT-6 Astra's training advances to OpenAI's mid-priced tier — OpenAI claims roughly half GPT-5.6 Sol's factual-error rate at half its price, with a 1.05M-token context.

Best for

  • Default OpenAI production model
  • Agentic coding
  • Long-context knowledge work

Watch out

Brand-new (2026-09-22): the DeepSWE figure is vendor-reported and it is not yet on the independent boards; long prompts above 272K bill $4/$15 for the whole request.

When the cheaper one wins

Both charge $10 per million output tokens at standard rates, so output price is not the split. Prefer the row whose “best for” line matches the job, then confirm the live vendor rate.

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 2 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 · GPT-6 Sol

Common questions

Gemini 2.5 Pro vs GPT-6 Sol

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

Is Gemini 2.5 Pro or GPT-6 Sol cheaper for input?
Gemini 2.5 Pro is cheaper at $1.25 per million input tokens, against $2 for GPT-6 Sol — roughly 1.6× 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. GPT-6 Sol has tiered pricing: Replaces GPT-5.6 Sol at 50% of its $4/$20 promo price. Cached input $0.20/MTok; cache writes $2.50 (1.25x). Above 272K input the whole request bills $4/$15 ($0.40 cached). Batch/Flex $1/$5; Fast mode $4/$20. Knowledge cutoff Apr 20 2026. Launched in the API, ChatGPT Work and Codex the same day.
Is Gemini 2.5 Pro or GPT-6 Sol cheaper for output?
Both cost $10 per million output tokens at standard rates, so output price is not a deciding factor between them.
Which has the larger context window, Gemini 2.5 Pro or GPT-6 Sol?
Both accept about 1.05M tokens of context, so document length will not decide between them.
Do Gemini 2.5 Pro and GPT-6 Sol support the same reasoning levels?
Gemini 2.5 Pro exposes low, medium, high, while GPT-6 Sol exposes none, low, medium, high, xhigh, max.
Should I use Gemini 2.5 Pro or GPT-6 Sol?
Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. Gemini 2.5 Pro suits long documents; GPT-6 Sol suits default openai production model.

Next step

Choosing between them

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

  • Input price: Gemini 2.5 Pro costs $1.25 per 1M tokens versus $2 for GPT-6 Sol — a 1.6x difference at the headline tier.
  • Context: GPT-6 Sol takes 1.05M against 1.05M for Gemini 2.5 Pro — only decisive if your prompts approach the smaller window.
  • Measured capability: GPT-6 Sol leads Artificial Analysis Intelligence Index 47.5 to 16.1 (measured 2026-09-26).
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