North Mini Code vs GLM-4.5-Flash vs Laguna M.1
Too close to call on our weighted score (North Mini Code 71, Laguna M.1 68, GLM-4.5-Flash 65). The right pick depends on what you value most.
CohereNorth Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
Z.ai (Zhipu)GLM-4.5-Flash
65/100- ECI—
- PriceFree / Free
- Context131K
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
Too close to call
It is close. Our weighted score puts them within 3 points (North Mini Code 71/100, Laguna M.1 68/100, GLM-4.5-Flash 65/100), so choose by what matters most for your work: North Mini Code on price and Laguna M.1 for long inputs. 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 priceSame priceNorth Mini Code Free · GLM-4.5-Flash Free · Laguna M.1 Free per 1M tokens (3:1 blend)
- Longest contextLaguna M.1Laguna M.1 262,144 · North Mini Code 256,000 · GLM-4.5-Flash 131,072 tokens
- Widest inputsSame inputsNorth Mini Code: Text · GLM-4.5-Flash: Text · Laguna M.1: Text
- Self-hostingNorth Mini Code and Laguna M.1Publishes downloadable weights
| Measure | Weight | North Mini Code | GLM-4.5-Flash | Laguna M.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 45 | 35 | 35 |
| Context window | 20% | 36 | 24 | 37 |
| Overall | 100% | 71/100 | 65/100 | 68/100 |
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 | North Mini CodeCohere | GLM-4.5-FlashZ.ai (Zhipu) | Laguna M.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free | Free | Free |
| Output | Free | Free | Free |
| Cached input | — | — | — |
| Blended (3:1) | Free | Free | Free |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Z.AI API | Official Poolside API |
| Limits | |||
| Context window | 256,000 tokens | 131,072 tokens | 262,144 tokens (best) |
| Max output | 64,000 tokens | 98,304 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeshigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | north-mini-code-1-0 | glm-4.5-flash | poolside/laguna-m.1 |
| API providers | 2 | 4 (best) | 2 |
| Released | Jun 9, 2026 | Jul 28, 2025 | Apr 28, 2026 |
| Knowledge cutoff | Sep 23, 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.
- North Mini CodeFree
- GLM-4.5-FlashFree
- Laguna M.1Free
Which should you choose?
Which is better: North Mini Code, GLM-4.5-Flash or Laguna M.1?
It is close. Our weighted score puts them within 3 points (North Mini Code 71/100, Laguna M.1 68/100, GLM-4.5-Flash 65/100), so choose by what matters most for your work: North Mini Code on price and Laguna M.1 for long inputs. 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, North Mini Code, GLM-4.5-Flash or Laguna M.1?
North Mini Code, GLM-4.5-Flash and Laguna M.1 cost the same: Free input / Free output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. North Mini Code has not been scored yet, GLM-4.5-Flash has not been scored yet and Laguna M.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for North Mini Code, GLM-4.5-Flash and Laguna M.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Laguna M.1 has the largest context window at 262,144 tokens, against 256,000 for North Mini Code and 131,072 for GLM-4.5-Flash. Maximum output per response: North Mini Code up to 64,000, GLM-4.5-Flash up to 98,304, Laguna M.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
North Mini Code accepts text; GLM-4.5-Flash accepts text; Laguna M.1 accepts text. They handle the same number of input types.
Are any of these open source?
North Mini Code and Laguna M.1 publishes its weights and can be self-hosted; GLM-4.5-Flash is proprietary.
Which is newer?
North Mini Code is the newest, released Jun 9, 2026. Laguna M.1 came out Apr 28, 2026; GLM-4.5-Flash came out Jul 28, 2025. Knowledge cutoff: North Mini Code Sep 23, 2025, GLM-4.5-Flash 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.
