o1 vs Claude Opus 4 vs Qwen3 Max
Too close to call on our weighted score (Qwen3 Max 50, o1 49, Claude Opus 4 48). The right pick depends on what you value most.
OpenAIo1
49/100- ECI141.9
- Price$15.00 / $60.00
- Context200K
AnthropicClaude Opus 4
48/100- ECI142.7
- Price$15.00 / $75.00
- Context200K
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Qwen3 Max 50/100, o1 49/100, Claude Opus 4 48/100), so choose by what matters most for your work: Claude Opus 4 for raw capability, Qwen3 Max on price and Qwen3 Max for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 4Capabilities Index (ECI): Claude Opus 4 142.7 · Qwen3 Max 142.4 · o1 141.9
- Lowest priceQwen3 MaxQwen3 Max $2.40 · o1 $26.25 · Claude Opus 4 $30.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 MaxQwen3 Max 262,144 · o1 200,000 · Claude Opus 4 200,000 tokens
- Widest inputso1 and Claude Opus 4o1: Text, Images, PDFs · Claude Opus 4: Text, Images, PDFs · Qwen3 Max: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | o1 | Claude Opus 4 | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 68 | 69 | 68 |
| Price | 25% | 0 | 0 | 32 |
| Inputs & features | 15% | 80 | 70 | 25 |
| Context window | 10% | 32 | 32 | 37 |
| Overall | 100% | 49/100 | 48/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | o1OpenAI | Claude Opus 4Anthropic | Qwen3 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 141.9 | 142.7 (best) | 142.4 |
| ECI rank | #92 of 148 | #87 of 148 (best) | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 76.8% (best) | 76.3% | 72.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 14.7% | — | 19.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% (best) | 64.4% | 73.3% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | 70.7% | — |
| SimpleQA VerifiedShort factual questions | 41.1% | — | 48.8% (best) |
| Price per million tokens | |||
| Input | $15.00 | $15.00 | $1.20 (best) |
| Output | $60.00 | $75.00 | $6.00 (best) |
| Cached input | $7.50 | — | — |
| Blended (3:1) | $26.25 | $30.00 | $2.40 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 5 providers | Official Alibaba API |
| Limits | |||
| Context window | 200,000 tokens | 200,000 tokens | 262,144 tokens (best) |
| Max output | 100,000 tokens (best) | 32,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | o1 | — | qwen3-max |
| API providers | 9 | 5 | 16 (best) |
| Released | Dec 5, 2024 | May 22, 2025 | Sep 23, 2025 |
| Knowledge cutoff | Sep 2023 | Mar 31, 2025 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o1$270.00
- Claude Opus 4$300.00
- Qwen3 Max$24.00
Which should you choose?
Which is better: o1, Claude Opus 4 or Qwen3 Max?
It is close. Our weighted score puts them within a point (Qwen3 Max 50/100, o1 49/100, Claude Opus 4 48/100), so choose by what matters most for your work: Claude Opus 4 for raw capability, Qwen3 Max on price and Qwen3 Max for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, o1, Claude Opus 4 or Qwen3 Max?
Qwen3 Max is cheaper at $1.20 input / $6.00 output per million tokens (official Alibaba API price). o1 costs $15.00 input / $60.00 output per million tokens (official OpenAI API price); Claude Opus 4 costs $15.00 input / $75.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $2.40 per million tokens for Qwen3 Max versus $26.25 for o1 (11× as much) and $30.00 for Claude Opus 4 (13× as much).
Which scores higher on benchmarks?
Claude Opus 4 scores higher on the Capabilities Index (ECI): Claude Opus 4 142.7 (#87 of 148), Qwen3 Max 142.4 (#91 of 148) and o1 141.9 (#92 of 148). The confidence ranges of the top two overlap (140.2–144.2 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — o1 76.8%, Claude Opus 4 76.3%, Qwen3 Max 72.6%; OTIS Mock AIME 2024–2025 — o1 73.3%, Qwen3 Max 73.3%, Claude Opus 4 64.4%.
Which is better for coding?
There are no published SWE-bench Verified results for o1 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Claude Opus 4 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?
Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for o1 and 200,000 for Claude Opus 4. Maximum output per response: o1 up to 100,000, Claude Opus 4 up to 32,000, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
o1 accepts text, images and PDFs; Claude Opus 4 accepts text, images and PDFs; Qwen3 Max accepts text. o1 handles the widest range of inputs.
Are any of these open source?
No. o1, Claude Opus 4 and Qwen3 Max are proprietary and only available through APIs and apps.
Which is newer?
Qwen3 Max is the newest, released Sep 23, 2025. Claude Opus 4 came out May 22, 2025; o1 came out Dec 5, 2024. Knowledge cutoff: o1 Sep 2023, Claude Opus 4 Mar 31, 2025, Qwen3 Max Apr 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.
