Qwen2.5 32B Instruct vs North Mini Code
North Mini Code comes out ahead, 71 to 35 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen2.5 32B Instruct
35/100- ECI128.5
- Price$0.70 / $2.80
- Context131K
- Our pick
CohereNorth Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
Add a model
Make it a three-way comparison.
North Mini Code is our pick
North Mini Code is the better all-round choice, scoring 71/100 against Qwen2.5 32B Instruct (35). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceNorth Mini CodeNorth Mini Code Free · Qwen2.5 32B Instruct $1.23 per 1M tokens (3:1 blend)
- Longest contextNorth Mini CodeNorth Mini Code 256,000 · Qwen2.5 32B Instruct 131,072 tokens
- Widest inputsSame inputsQwen2.5 32B Instruct: Text · North Mini Code: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5 32B Instruct | North Mini Code |
|---|---|---|---|
| Price | 50% | 46 | 100 |
| Inputs & features | 30% | 25 | 45 |
| Context window | 20% | 24 | 36 |
| Overall | 100% | 35/100 | 71/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen2.5 32B InstructAlibaba (Qwen) | North Mini CodeCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 128.5 | — |
| ECI rank | #131 of 148 | — |
| GPQA DiamondGraduate-level science questions | 46.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.4% | — |
| Price per million tokens | ||
| Input | $0.70 | Free (best) |
| Output | $2.80 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $1.23 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Cohere API |
| Limits | ||
| Context window | 131,072 tokens | 256,000 tokens (best) |
| Max output | 8,192 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yeshigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | qwen2-5-32b-instruct | north-mini-code-1-0 |
| API providers | 1 | 2 (best) |
| Released | Sep 17, 2024 | Jun 9, 2026 |
| Knowledge cutoff | Apr 2024 | Sep 23, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen2.5 32B Instruct$12.60
- North Mini CodeFree
Which should you choose?
Which is better: Qwen2.5 32B Instruct or North Mini Code?
North Mini Code is the better all-round choice, scoring 71/100 against Qwen2.5 32B Instruct (35). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen2.5 32B Instruct or North Mini Code?
North Mini Code is cheaper at Free input / Free output per million tokens (official Cohere API price). Qwen2.5 32B Instruct costs $0.70 input / $2.80 output per million tokens (official Alibaba API price). North Mini Code is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen2.5 32B Instruct has an ECI of 128.5 and North Mini Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5 32B Instruct and North Mini Code yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
North Mini Code has the largest context window at 256,000 tokens, against 131,072 for Qwen2.5 32B Instruct. Maximum output per response: Qwen2.5 32B Instruct up to 8,192, North Mini Code up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5 32B Instruct accepts text; North Mini Code accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
North Mini Code is the newest, released Jun 9, 2026. Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Qwen2.5 32B Instruct Apr 2024, North Mini Code Sep 23, 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.
Related comparisons
- Add Mistral Large 2.1Three-way comparison
- Qwen2.5 32B Instruct vs Mistral Large 2.1Mistral AI · ECI 128.5
- Qwen2.5 32B Instruct vs Llama-3.3-70B-InstructMeta · ECI 127.3
- Qwen2.5 32B Instruct vs Nova ProAmazon · ECI 123.8
- Qwen2.5 32B Instruct vs Claude Haiku 3.5Anthropic · ECI 127.2
- North Mini Code vs Laguna M.1Poolside
- North Mini Code vs Nemotron VoiceChatNVIDIA
