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Comparison · 3 models · Updated Oct 4, 2026

GPT-4o vs Claude Sonnet 3.5 v2 vs Qwen2.5 72B Instruct

Too close to call on our weighted score (Claude Sonnet 3.5 v2 44, GPT-4o 43, Qwen2.5 72B Instruct 40). The right pick depends on what you value most.

  1. OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
  2. Anthropic

    Claude Sonnet 3.5 v2

    Released Oct 22, 2024

    44/100
    • ECI133.5
    • Price$3.00 / $15.00
    • Context200K
  3. Alibaba (Qwen)

    Qwen2.5 72B Instruct

    Released Sep 19, 2024

    40/100
    • ECI129.0
    • Price$1.40 / $5.60
    • Context131K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Qwen2.5 72B Instruct 40/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Qwen2.5 72B Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Sonnet 3.5 v2Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.5 · Qwen2.5 72B Instruct 129.0 · GPT-4o 129.0
  • Lowest priceQwen2.5 72B InstructQwen2.5 72B Instruct $2.45 · GPT-4o $4.38 · Claude Sonnet 3.5 v2 $6.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 200,000 · Qwen2.5 72B Instruct 131,072 · GPT-4o 128,000 tokens
  • Widest inputsGPT-4o and Claude Sonnet 3.5 v2GPT-4o: Text, Images, PDFs · Claude Sonnet 3.5 v2: Text, Images, PDFs · Qwen2.5 72B Instruct: Text
  • Self-hostingQwen2.5 72B InstructPublishes downloadable weights
How the score is built
MeasureWeightGPT-4oClaude Sonnet 3.5 v2Qwen2.5 72B Instruct
CapabilityCapabilities Index (ECI)50%525752
Price25%191331
Inputs & features15%706025
Context window10%243224
Overall100%43/10044/10040/100
02 — Side by side

Every spec in one table

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

GPT-4o vs Claude Sonnet 3.5 v2 vs Qwen2.5 72B Instruct specifications side by side
SpecificationGPT-4oOpenAIClaude Sonnet 3.5 v2AnthropicQwen2.5 72B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)129.0133.5 (best)129.0
ECI rank#129 of 148#119 of 148 (best)#128 of 148
GPQA DiamondGraduate-level science questions48.9%55.3% (best)49.2%
OTIS Mock AIME 2024–2025Competition mathematics6.3%8.5% (best)8.1%
Price per million tokens
Input$2.50$3.00$1.40 (best)
Output$10.00$15.00$5.60 (best)
Cached input$1.25——
Blended (3:1)$4.38$6.00$2.45 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 1 providersOfficial Alibaba API
Limits
Context window128,000 tokens200,000 tokens (best)131,072 tokens
Max output16,384 tokens (best)8,192 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-4o—qwen2-5-72b-instruct
API providers19 (best)11
ReleasedMay 13, 2024Oct 22, 2024Sep 19, 2024
Knowledge cutoffSep 2023Apr 30, 2024Apr 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.

  • GPT-4o$45.00
  • Claude Sonnet 3.5 v2$60.00
  • Qwen2.5 72B Instruct$25.20
04 — Questions

Which should you choose?

Which is better: GPT-4o, Claude Sonnet 3.5 v2 or Qwen2.5 72B Instruct?

It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Qwen2.5 72B Instruct 40/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Qwen2.5 72B Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4o, Claude Sonnet 3.5 v2 or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct is cheaper at $1.40 input / $5.60 output per million tokens (official Alibaba API price). GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price); Claude Sonnet 3.5 v2 costs $3.00 input / $15.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $2.45 per million tokens for Qwen2.5 72B Instruct versus $4.38 for GPT-4o (1.8× as much) and $6.00 for Claude Sonnet 3.5 v2 (2.4× as much).

Which scores higher on benchmarks?

Claude Sonnet 3.5 v2 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.5 (#119 of 148), Qwen2.5 72B Instruct 129.0 (#128 of 148) and GPT-4o 129.0 (#129 of 148). The confidence ranges of the top two overlap (129.2–137.5 vs 123.8–130.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, Qwen2.5 72B Instruct 49.2%, GPT-4o 48.9%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, Qwen2.5 72B Instruct 8.1%, GPT-4o 6.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o, Claude Sonnet 3.5 v2 and Qwen2.5 72B Instruct yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.5 v2 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 Sonnet 3.5 v2 has the largest context window at 200,000 tokens, against 131,072 for Qwen2.5 72B Instruct and 128,000 for GPT-4o. Maximum output per response: GPT-4o up to 16,384, Claude Sonnet 3.5 v2 up to 8,192, Qwen2.5 72B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

GPT-4o accepts text, images and PDFs; Claude Sonnet 3.5 v2 accepts text, images and PDFs; Qwen2.5 72B Instruct accepts text. GPT-4o handles the widest range of inputs.

Are any of these open source?

Qwen2.5 72B Instruct publishes its weights and can be self-hosted; GPT-4o and Claude Sonnet 3.5 v2 is proprietary.

Which is newer?

Claude Sonnet 3.5 v2 is the newest, released Oct 22, 2024. Qwen2.5 72B Instruct came out Sep 19, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Claude Sonnet 3.5 v2 Apr 30, 2024, Qwen2.5 72B Instruct Apr 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.