GLM-5.2 vs North Mini Code
GLM-5.2 (freemium, AI Score 8.7/10) vs North Mini Code (free, AI Score 8.2/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
- →overall capability matters more than price (AI Score 8.7 vs 8.2)
- →you want our editor's pick for this category
Side-by-side specs
| Spec | GLM-5.2 | North Mini Code |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | free |
| Headline pricing | Free 20M tokens on signup + open weights; paid API & coding plans (check site) | Free (open-source, Apache 2.0) |
| Free tier | Free chat access plus 20M free tokens on API signup, and open weights available to download and self-host under MIT. | Completely free and open-source under Apache 2.0. You pay only for your own compute or LLM API hosting costs. |
| AI Score | 8.7/10 | 8.2/10 |
| Best for | — | — |
| Editor's pick | ✓ Yes | — |
| Use cases | — | — |
| Date added | 2026-06-27 | 2026-06-15 |
Pros and cons
GLM-5.2
Coding · freemium
Pros
- ✓MIT-licensed open weights — full commercial use, self-hosting, and fine-tuning with no revocable API terms
- ✓1M-token context handles whole codebases and long agent histories in one pass
- ✓Benchmark results competitive with top closed frontier models, especially on coding and agentic tasks
- ✓Genuinely free to start: chat UI, 20M signup tokens, or download the weights
- ✓Strong fit for coding agents thanks to its long-horizon, tool-use orientation
Cons
- ×At 744B parameters, self-hosting demands serious GPU hardware — out of reach for most individual developers
- ×Vendor-published benchmarks need independent verification; real-world coding performance may vary from the claims
- ×Hosted API and coding-plan pricing isn't transparently listed, so budgeting requires checking the site
- ×As a model from Zhipu AI, some enterprises face data-residency or procurement constraints around China-based providers
North Mini Code
Coding · free
Pros
- ✓Strong SWE-Bench scores (67.6% Verified, 40.2% Pro) from only 3B active parameters — exceptional efficiency
- ✓Apache 2.0 license with 26 quantized variants makes self-hosting on consumer hardware viable
- ✓256K context window with 64K output handles large codebases in a single pass
- ✓Interleaved thinking with native tool use is purpose-built for agentic coding workflows
Cons
- ×Code-specialist only — not a general-purpose model, so don't expect strong performance on non-coding tasks
- ×Requires your own GPU infrastructure or API hosting — no managed cloud endpoint from Cohere yet
- ×Relatively new (June 2026) with limited third-party evaluations beyond the team's own benchmarks
- ×MoE architecture needs compatible serving infrastructure (vLLM, SGLang) — not a simple drop-in for all frameworks
FAQ
Is GLM-5.2 better than North Mini Code? ▾
GLM-5.2 scores 8.7/10 in our evaluation versus North Mini Code at 8.2/10. GLM-5.2 edges ahead overall, but "better" depends on your use case — see the verdict block above.
Does GLM-5.2 or North Mini Code have a free tier? ▾
Both offer free access. GLM-5.2: Free chat access plus 20M free tokens on API signup, and open weights available to download and self-host under MIT.. North Mini Code: Completely free and open-source under Apache 2.0. You pay only for your own compute or LLM API hosting costs..
Should I choose GLM-5.2 or North Mini Code in 2026? ▾
If overall capability matters more than price (AI Score 8.7 vs 8.2) pick GLM-5.2. If budget is the constraint pick North Mini Code. Both are credible — neither is a wrong choice.
Related comparisons
Updated 2026-06-27. Spec data sourced from official product pages and tracked in our public directory at /tools.