GPT-4o vs Qwen2.5 72B Instruct vs Claude Sonnet 3.5 v2
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.
OpenAI
GPT-4o
43/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Alibaba (Qwen)
Qwen2.5 72B Instruct
40/100- ECI129.0
- Price$1.40 / $5.60
- Context131K
Anthropic
Claude Sonnet 3.5 v2
44/100- ECI133.5
- Price$3.00 / $15.00
- Context200K
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 · Qwen2.5 72B Instruct: Text · Claude Sonnet 3.5 v2: Text, Images, PDFs
- Self-hostingQwen2.5 72B InstructPublishes downloadable weights
| Measure | Weight | GPT-4o | Qwen2.5 72B Instruct | Claude Sonnet 3.5 v2 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 52 | 52 | 57 |
| Price | 25% | 19 | 31 | 13 |
| Inputs & features | 15% | 70 | 25 | 60 |
| Context window | 10% | 24 | 24 | 32 |
| Overall | 100% | 43/100 | 40/100 | 44/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 129.0 | 129.0 | 133.5 (best) |
| ECI rank | #129 of 148 | #128 of 148 | #119 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 48.9% | 49.2% | 55.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 6.3% | 8.1% | 8.5% (best) |
| Price per million tokens | |||
| Input | $2.50 | $1.40 (best) | $3.00 |
| Output | $10.00 | $5.60 (best) | $15.00 |
| Cached input | $1.25 | — | — |
| Blended (3:1) | $4.38 | $2.45 (best) | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Alibaba API | Median of 1 providers |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens (best) | 8,192 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-4o | qwen2-5-72b-instruct | — |
| API providers | 19 (best) | 1 | 1 |
| Released | May 13, 2024 | Sep 19, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Sep 2023 | Apr 2024 | Apr 30, 2024 |
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
Qwen2.5 72B Instruct$25.20
Claude Sonnet 3.5 v2$60.00
Which should you choose?
Which is better: GPT-4o, Qwen2.5 72B Instruct or Claude Sonnet 3.5 v2?
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, Qwen2.5 72B Instruct or Claude Sonnet 3.5 v2?
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, Qwen2.5 72B Instruct and Claude Sonnet 3.5 v2 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, Qwen2.5 72B Instruct up to 8,192, Claude Sonnet 3.5 v2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-4o accepts text, images and PDFs; Qwen2.5 72B Instruct accepts text; Claude Sonnet 3.5 v2 accepts text, images and PDFs. 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, Qwen2.5 72B Instruct Apr 2024, Claude Sonnet 3.5 v2 Apr 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.