QwQ 32B vs Llama 4 Maverick 17B Instruct vs GPT-4.1 mini
Too close to call on our weighted score (GPT-4.1 mini 60, Llama 4 Maverick 17B Instruct 58, QwQ 32B 53). The right pick depends on what you value most.
Alibaba (Qwen)
QwQ 32B
53/100- ECI137.6
- Price$0.66 / $1.00
- Context131K
Meta
Llama 4 Maverick 17B Instruct
58/100- ECI132.2
- Price$0.321 / $0.91
- Context1M
OpenAI
GPT-4.1 mini
60/100- ECI135.0
- Price$0.40 / $1.60
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 3 points (GPT-4.1 mini 60/100, Llama 4 Maverick 17B Instruct 58/100, QwQ 32B 53/100), so choose by what matters most for your work: QwQ 32B for raw capability, Llama 4 Maverick 17B Instruct on price and GPT-4.1 mini for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwQ 32BCapabilities Index (ECI): QwQ 32B 137.6 · GPT-4.1 mini 135.0 · Llama 4 Maverick 17B Instruct 132.2
- Lowest priceLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct $0.468 · GPT-4.1 mini $0.70 · QwQ 32B $0.745 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Llama 4 Maverick 17B Instruct 1,000,000 · QwQ 32B 131,072 tokens
- Widest inputsGPT-4.1 miniQwQ 32B: Text · Llama 4 Maverick 17B Instruct: Text, Images · GPT-4.1 mini: Text, Images, PDFs
- Self-hostingQwQ 32B and Llama 4 Maverick 17B InstructPublishes downloadable weights
| Measure | Weight | QwQ 32B | Llama 4 Maverick 17B Instruct | GPT-4.1 mini |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 62 | 56 | 59 |
| Price | 25% | 56 | 66 | 57 |
| Inputs & features | 15% | 35 | 50 | 70 |
| Context window | 10% | 24 | 60 | 61 |
| Overall | 100% | 53/100 | 58/100 | 60/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 137.6 (best) | 132.2 | 135.0 |
| ECI rank | #109 of 148 (best) | #122 of 148 | #115 of 148 |
| GPQA DiamondGraduate-level science questions | 65.3% | 67.0% (best) | 65.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 6.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 59.2% (best) | 20.6% | 44.7% |
| SimpleQA VerifiedShort factual questions | — | — | 12.7% |
| Price per million tokens | |||
| Input | $0.66 | $0.321 (best) | $0.40 |
| Output | $1.00 | $0.91 (best) | $1.60 |
| Cached input | — | — | $0.10 |
| Blended (3:1) | $0.745 | $0.468 (best) | $0.70 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 6 providers | Official OpenAI API |
| Limits | |||
| Context window | 131,072 tokens | 1,000,000 tokens | 1,047,576 tokens (best) |
| Max output | 8,192 tokens | 16,384 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | — | gpt-4.1-mini |
| API providers | 1 | 6 | 24 (best) |
| Released | Mar 5, 2025 | Apr 5, 2025 | Apr 14, 2025 |
| Knowledge cutoff | Apr 2024 | Aug 2024 | 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.
QwQ 32B$8.60
Llama 4 Maverick 17B Instruct$5.03
GPT-4.1 mini$7.20
Which should you choose?
Which is better: QwQ 32B, Llama 4 Maverick 17B Instruct or GPT-4.1 mini?
It is close. Our weighted score puts them within 3 points (GPT-4.1 mini 60/100, Llama 4 Maverick 17B Instruct 58/100, QwQ 32B 53/100), so choose by what matters most for your work: QwQ 32B for raw capability, Llama 4 Maverick 17B Instruct on price and GPT-4.1 mini for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, QwQ 32B, Llama 4 Maverick 17B Instruct or GPT-4.1 mini?
Llama 4 Maverick 17B Instruct is cheaper at $0.321 input / $0.91 output per million tokens (median across 6 API providers). GPT-4.1 mini costs $0.40 input / $1.60 output per million tokens (official OpenAI API price); QwQ 32B costs $0.66 input / $1.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.468 per million tokens for Llama 4 Maverick 17B Instruct versus $0.70 for GPT-4.1 mini (1.5× as much) and $0.745 for QwQ 32B (1.6× as much).
Which scores higher on benchmarks?
QwQ 32B scores higher on the Capabilities Index (ECI): QwQ 32B 137.6 (#109 of 148), GPT-4.1 mini 135.0 (#115 of 148) and Llama 4 Maverick 17B Instruct 132.2 (#122 of 148). The confidence ranges of the top two overlap (133.1–141.7 vs 131.2–136.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Maverick 17B Instruct 67.0%, GPT-4.1 mini 65.9%, QwQ 32B 65.3%; OTIS Mock AIME 2024–2025 — QwQ 32B 59.2%, GPT-4.1 mini 44.7%, Llama 4 Maverick 17B Instruct 20.6%.
Which is better for coding?
There are no published SWE-bench Verified results for QwQ 32B, Llama 4 Maverick 17B Instruct and GPT-4.1 mini yet, so there is no like-for-like coding score. On overall capability, QwQ 32B 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?
GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 1,000,000 for Llama 4 Maverick 17B Instruct and 131,072 for QwQ 32B. Maximum output per response: QwQ 32B up to 8,192, Llama 4 Maverick 17B Instruct up to 16,384, GPT-4.1 mini up to 32,768 tokens.
Which can read images, PDFs, audio or video?
QwQ 32B accepts text; Llama 4 Maverick 17B Instruct accepts text and images; GPT-4.1 mini accepts text, images and PDFs. GPT-4.1 mini handles the widest range of inputs.
Are any of these open source?
QwQ 32B and Llama 4 Maverick 17B Instruct publishes its weights and can be self-hosted; GPT-4.1 mini is proprietary.
Which is newer?
GPT-4.1 mini is the newest, released Apr 14, 2025. Llama 4 Maverick 17B Instruct came out Apr 5, 2025; QwQ 32B came out Mar 5, 2025. Knowledge cutoff: QwQ 32B Apr 2024, Llama 4 Maverick 17B Instruct Aug 2024, GPT-4.1 mini 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.