o1 vs QwQ 32B
QwQ 32B comes out ahead, 53 to 49 on our weighted score, and it is the cheaper option too.
QwQ 32B is our pick
QwQ 32B is the better all-round choice, scoring 53/100 against o1 (49). It leads on price. o1 wins on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo1Capabilities Index (ECI): o1 141.9 · QwQ 32B 137.6
- Lowest priceQwQ 32BQwQ 32B $0.745 · o1 $26.25 per 1M tokens (3:1 blend)
- Longest contexto1o1 200,000 · QwQ 32B 131,072 tokens
- Widest inputso1o1: Text, Images, PDFs · QwQ 32B: Text
- Self-hostingQwQ 32BPublishes downloadable weights
| Measure | Weight | o1 | QwQ 32B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 68 | 62 |
| Price | 25% | 0 | 56 |
| Inputs & features | 15% | 80 | 35 |
| Context window | 10% | 32 | 24 |
| Overall | 100% | 49/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification |  o1OpenAI |  QwQ 32BAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 141.9 (best) | 137.6 |
| ECI rank | #92 of 148 (best) | #109 of 148 |
| GPQA DiamondGraduate-level science questions | 76.8% (best) | 65.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 14.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% (best) | 59.2% |
| SimpleQA VerifiedShort factual questions | 41.1% | — |
| Price per million tokens | ||
| Input | $15.00 | $0.66 (best) |
| Output | $60.00 | $1.00 (best) |
| Cached input | $7.50 | — |
| Blended (3:1) | $26.25 | $0.745 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 1 providers |
| Limits | ||
| Context window | 200,000 tokens (best) | 131,072 tokens |
| Max output | 100,000 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | o1 | — |
| API providers | 9 (best) | 1 |
| Released | Dec 5, 2024 | Mar 5, 2025 |
| Knowledge cutoff | Sep 2023 | Apr 2024 |
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
- QwQ 32B$8.60
Which should you choose?
Which is better: o1 or QwQ 32B?
QwQ 32B is the better all-round choice, scoring 53/100 against o1 (49). It leads on price. o1 wins on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, o1 or QwQ 32B?
QwQ 32B is cheaper at $0.66 input / $1.00 output per million tokens (median across 1 API provider). o1 costs $15.00 input / $60.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.745 per million tokens for QwQ 32B versus $26.25 for o1 (35× as much).
Which scores higher on benchmarks?
o1 scores higher on the Capabilities Index (ECI): o1 141.9 (#92 of 148) and QwQ 32B 137.6 (#109 of 148). The confidence ranges of the top two overlap (139.7–143.1 vs 133.1–141.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — o1 76.8%, QwQ 32B 65.3%; OTIS Mock AIME 2024–2025 — o1 73.3%, QwQ 32B 59.2%.
Which is better for coding?
There are no published SWE-bench Verified results for o1 and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, o1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
o1 has the largest context window at 200,000 tokens, against 131,072 for QwQ 32B. Maximum output per response: o1 up to 100,000, QwQ 32B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
o1 accepts text, images and PDFs; QwQ 32B accepts text. o1 handles the widest range of inputs.
Are any of these open source?
QwQ 32B publishes its weights and can be self-hosted; o1 is proprietary.
Which is newer?
QwQ 32B is the newest, released Mar 5, 2025. o1 came out Dec 5, 2024. Knowledge cutoff: o1 Sep 2023, QwQ 32B 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.
