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Comparison · 3 models · Updated Oct 4, 2026

GPT-5.2 Pro vs Claude Opus 4.5 vs Claude Opus 4.6

Claude Opus 4.6 comes out ahead, 61 to 56 and 55 on our weighted score.

  1. OpenAI

    GPT-5.2 Pro

    Released Dec 11, 2025

    56/100
    • ECI155.4
    • Price$21.00 / $168.00
    • Context400K
  2. Anthropic

    Claude Opus 4.5

    Released Nov 24, 2025

    55/100
    • ECI150.1
    • Price$5.00 / $25.00
    • Context200K
  3. Our pick

    Anthropic

    Claude Opus 4.6

    Released Feb 5, 2026

    61/100
    • ECI155.3
    • Price$5.00 / $25.00
    • Context1M
01 — Verdict

Claude Opus 4.6 is our pick

Claude Opus 4.6 is the better all-round choice, scoring 61/100 against GPT-5.2 Pro (56) and Claude Opus 4.5 (55). It leads on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.2 ProCapabilities Index (ECI): GPT-5.2 Pro 155.4 · Claude Opus 4.6 155.3 · Claude Opus 4.5 150.1
  • Lowest priceClaude Opus 4.5 and Claude Opus 4.6Claude Opus 4.5 $10.00 · Claude Opus 4.6 $10.00 · GPT-5.2 Pro $57.75 per 1M tokens (3:1 blend)
  • Longest contextClaude Opus 4.6Claude Opus 4.6 1,000,000 · GPT-5.2 Pro 400,000 · Claude Opus 4.5 200,000 tokens
  • Widest inputsClaude Opus 4.5 and Claude Opus 4.6GPT-5.2 Pro: Text, Images · Claude Opus 4.5: Text, Images, PDFs · Claude Opus 4.6: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.2 ProClaude Opus 4.5Claude Opus 4.6
CapabilityCapabilities Index (ECI)50%857885
Price25%022
Inputs & features15%608080
Context window10%443260
Overall100%56/10055/10061/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-5.2 Pro vs Claude Opus 4.5 vs Claude Opus 4.6 specifications side by side
SpecificationGPT-5.2 ProOpenAIClaude Opus 4.5AnthropicClaude Opus 4.6Anthropic
Capability
Capabilities Index (ECI)155.4 (best)150.1155.3
ECI rank#25 of 148 (best)#48 of 148#27 of 148
GPQA DiamondGraduate-level science questions—86.1%90.5% (best)
FrontierMath Tiers 1–3Research-level mathematics74.0% (best)34.4%66.0%
OTIS Mock AIME 2024–2025Competition mathematics—86.1%94.4% (best)
SWE-bench VerifiedFixing real GitHub issues—76.7%78.7% (best)
SimpleQA VerifiedShort factual questions—45.7%47.0% (best)
Price per million tokens
Input$21.00$5.00 (best)$5.00 (best)
Output$168.00$25.00 (best)$25.00 (best)
Cached input—$0.50$0.50
Blended (3:1)$57.75$10.00 (best)$10.00 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Anthropic APIOfficial Anthropic API
Limits
Context window400,000 tokens200,000 tokens1,000,000 tokens (best)
Max output128,000 tokens (best)64,000 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningYesmedium · high · xhighYeslow · medium · highYeslow · medium · high · max
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.2-proclaude-opus-4-5claude-opus-4-6
API providers82833 (best)
ReleasedDec 11, 2025Nov 24, 2025Feb 5, 2026
Knowledge cutoffAug 31, 2025May 2025May 31, 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-5.2 Pro$546.00
  • Claude Opus 4.5$100.00
  • Claude Opus 4.6$100.00
04 — Questions

Which should you choose?

Which is better: GPT-5.2 Pro, Claude Opus 4.5 or Claude Opus 4.6?

Claude Opus 4.6 is the better all-round choice, scoring 61/100 against GPT-5.2 Pro (56) and Claude Opus 4.5 (55). It leads on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.2 Pro, Claude Opus 4.5 or Claude Opus 4.6?

Claude Opus 4.5 is cheaper at $5.00 input / $25.00 output per million tokens (official Anthropic API price). Claude Opus 4.6 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price); GPT-5.2 Pro costs $21.00 input / $168.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $10.00 per million tokens for Claude Opus 4.5 versus $10.00 for Claude Opus 4.6 (1× as much) and $57.75 for GPT-5.2 Pro (5.8× as much).

Which scores higher on benchmarks?

GPT-5.2 Pro scores higher on the Capabilities Index (ECI): GPT-5.2 Pro 155.4 (#25 of 148), Claude Opus 4.6 155.3 (#27 of 148) and Claude Opus 4.5 150.1 (#48 of 148). The confidence ranges of the top two overlap (153.0–158.2 vs 153.4–157.3), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.2 Pro 74.0%, Claude Opus 4.6 66.0%, Claude Opus 4.5 34.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.2 Pro yet, so there is no like-for-like coding score. On overall capability, GPT-5.2 Pro leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Opus 4.6 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.2 Pro and 200,000 for Claude Opus 4.5. Maximum output per response: GPT-5.2 Pro up to 128,000, Claude Opus 4.5 up to 64,000, Claude Opus 4.6 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.2 Pro accepts text and images; Claude Opus 4.5 accepts text, images and PDFs; Claude Opus 4.6 accepts text, images and PDFs. Claude Opus 4.5 handles the widest range of inputs.

Are any of these open source?

No. GPT-5.2 Pro, Claude Opus 4.5 and Claude Opus 4.6 are proprietary and only available through APIs and apps.

Which is newer?

Claude Opus 4.6 is the newest, released Feb 5, 2026. GPT-5.2 Pro came out Dec 11, 2025; Claude Opus 4.5 came out Nov 24, 2025. Knowledge cutoff: GPT-5.2 Pro Aug 31, 2025, Claude Opus 4.5 May 2025, Claude Opus 4.6 May 31, 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.