ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Opus 4.5 vs Grok 4.3 vs GPT-5.1

Grok 4.3 comes out ahead, 67 to 60 and 55 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Opus 4.5

    Released Nov 24, 2025

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

    xAI

    Grok 4.3

    Released Apr 17, 2026

    67/100
    • ECI149.2
    • Price$1.25 / $2.50
    • Context1M
  3. OpenAI

    GPT-5.1

    Released Nov 13, 2025

    60/100
    • ECI149.7
    • Price$1.25 / $10.00
    • Context400K
01 — Verdict

Grok 4.3 is our pick

Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.1 (60) and Claude Opus 4.5 (55). It leads on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 4.5Capabilities Index (ECI): Claude Opus 4.5 150.1 · GPT-5.1 149.7 · Grok 4.3 149.2
  • Lowest priceGrok 4.3Grok 4.3 $1.56 · GPT-5.1 $3.44 · Claude Opus 4.5 $10.00 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.1 400,000 · Claude Opus 4.5 200,000 tokens
  • Widest inputsClaude Opus 4.5 and Grok 4.3Claude Opus 4.5: Text, Images, PDFs · Grok 4.3: Text, Images, PDFs · GPT-5.1: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Opus 4.5Grok 4.3GPT-5.1
CapabilityCapabilities Index (ECI)50%787778
Price25%24124
Inputs & features15%808070
Context window10%326044
Overall100%55/10067/10060/100
02 — Side by side

Every spec in one table

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

Claude Opus 4.5 vs Grok 4.3 vs GPT-5.1 specifications side by side
SpecificationClaude Opus 4.5AnthropicGrok 4.3xAIGPT-5.1OpenAI
Capability
Capabilities Index (ECI)150.1 (best)149.2149.7
ECI rank#48 of 148 (best)#55 of 148#52 of 148
GPQA DiamondGraduate-level science questions86.1%88.8% (best)87.6%
FrontierMath Tiers 1–3Research-level mathematics34.4%42.8% (best)—
OTIS Mock AIME 2024–2025Competition mathematics86.1%93.3% (best)88.6%
SWE-bench VerifiedFixing real GitHub issues76.7% (best)—68.0%
SimpleQA VerifiedShort factual questions45.7%33.2%48.0% (best)
Price per million tokens
Input$5.00$1.25 (best)$1.25 (best)
Output$25.00$2.50 (best)$10.00
Cached input$0.50$0.20$0.125 (best)
Blended (3:1)$10.00$1.56 (best)$3.44
Long-context rateSame rateOver 200K: $2.50 / $5.00Same rate
Price sourceOfficial Anthropic APIOfficial xAI APIOfficial OpenAI API
Limits
Context window200,000 tokens1,000,000 tokens (best)400,000 tokens
Max output64,000 tokens30,000 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · highYeslow · medium · highYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-opus-4-5grok-4.3gpt-5.1
API providers28 (best)2721
ReleasedNov 24, 2025Apr 17, 2026Nov 13, 2025
Knowledge cutoffMay 2025—Sep 30, 2024
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.

  • Claude Opus 4.5$100.00
  • Grok 4.3$17.50
  • GPT-5.1$32.50
04 — Questions

Which should you choose?

Which is better: Claude Opus 4.5, Grok 4.3 or GPT-5.1?

Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.1 (60) and Claude Opus 4.5 (55). It leads on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Opus 4.5, Grok 4.3 or GPT-5.1?

Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GPT-5.1 costs $1.25 input / $10.00 output per million tokens (official OpenAI API price); Claude Opus 4.5 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.56 per million tokens for Grok 4.3 versus $3.44 for GPT-5.1 (2.2× as much) and $10.00 for Claude Opus 4.5 (6.4× as much).

Which scores higher on benchmarks?

Claude Opus 4.5 scores higher on the Capabilities Index (ECI): Claude Opus 4.5 150.1 (#48 of 148), GPT-5.1 149.7 (#52 of 148) and Grok 4.3 149.2 (#55 of 148). The confidence ranges of the top two overlap (147.9–153.0 vs 148.3–151.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, GPT-5.1 87.6%, Claude Opus 4.5 86.1%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, GPT-5.1 88.6%, Claude Opus 4.5 86.1%; SimpleQA Verified — GPT-5.1 48.0%, Claude Opus 4.5 45.7%, Grok 4.3 33.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.3 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 4.5 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?

Grok 4.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.1 and 200,000 for Claude Opus 4.5. Maximum output per response: Claude Opus 4.5 up to 64,000, Grok 4.3 up to 30,000, GPT-5.1 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Opus 4.5 accepts text, images and PDFs; Grok 4.3 accepts text, images and PDFs; GPT-5.1 accepts text and images. Claude Opus 4.5 handles the widest range of inputs.

Are any of these open source?

No. Claude Opus 4.5, Grok 4.3 and GPT-5.1 are proprietary and only available through APIs and apps.

Which is newer?

Grok 4.3 is the newest, released Apr 17, 2026. Claude Opus 4.5 came out Nov 24, 2025; GPT-5.1 came out Nov 13, 2025. Knowledge cutoff: Claude Opus 4.5 May 2025, GPT-5.1 Sep 30, 2024.

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.