Ling-1T vs Gemma 4 12B IT vs GLM-4.6
Gemma 4 12B IT comes out ahead, 75 to 42 and 37 on our weighted score, and it is the cheaper option too.
inclusionAILing-1T
37/100- ECI—
- Price$0.57 / $2.29
- Context128K
- Our pick
GoogleGemma 4 12B IT
75/100- ECI—
- Price$0.075 / $0.275
- Context262K
Z.ai (Zhipu)GLM-4.6
42/100- ECI—
- Price$0.60 / $2.20
- Context205K
Gemma 4 12B IT is our pick
Gemma 4 12B IT is the better all-round choice, scoring 75/100 against GLM-4.6 (42) and Ling-1T (37). 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 priceGemma 4 12B ITGemma 4 12B IT $0.125 · Ling-1T $1.00 · GLM-4.6 $1.00 per 1M tokens (3:1 blend)
- Longest contextGemma 4 12B ITGemma 4 12B IT 262,144 · GLM-4.6 204,800 · Ling-1T 128,000 tokens
- Widest inputsGemma 4 12B ITLing-1T: Text · Gemma 4 12B IT: Text, Images · GLM-4.6: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ling-1T | Gemma 4 12B IT | GLM-4.6 |
|---|---|---|---|---|
| Price | 50% | 50 | 93 | 50 |
| Inputs & features | 30% | 25 | 70 | 35 |
| Context window | 20% | 24 | 37 | 32 |
| Overall | 100% | 37/100 | 75/100 | 42/100 |
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 | Ling-1TinclusionAI | Gemma 4 12B ITGoogle | GLM-4.6Z.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.57 | $0.075 (best) | $0.60 |
| Output | $2.29 | $0.275 (best) | $2.20 |
| Cached input | — | — | $0.11 |
| Blended (3:1) | $1.00 | $0.125 (best) | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Bailing API | Median of 2 providers | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 204,800 tokens |
| Max output | 32,000 tokens | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | Ling-1T | — | glm-4.6 |
| API providers | 1 | 2 | 18 (best) |
| Released | Oct 2025 | Jun 9, 2026 | Sep 30, 2025 |
| Knowledge cutoff | Jun 2024 | — | 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.
- Ling-1T$10.28
- Gemma 4 12B IT$1.30
- GLM-4.6$10.40
Which should you choose?
Which is better: Ling-1T, Gemma 4 12B IT or GLM-4.6?
Gemma 4 12B IT is the better all-round choice, scoring 75/100 against GLM-4.6 (42) and Ling-1T (37). 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, Ling-1T, Gemma 4 12B IT or GLM-4.6?
Gemma 4 12B IT is cheaper at $0.075 input / $0.275 output per million tokens (median across 2 API providers). Ling-1T costs $0.57 input / $2.29 output per million tokens (official Bailing API price); GLM-4.6 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.125 per million tokens for Gemma 4 12B IT versus $1.00 for Ling-1T (8× as much) and $1.00 for GLM-4.6 (8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ling-1T has not been scored yet, Gemma 4 12B IT has not been scored yet and GLM-4.6 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ling-1T, Gemma 4 12B IT and GLM-4.6 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?
Gemma 4 12B IT has the largest context window at 262,144 tokens, against 204,800 for GLM-4.6 and 128,000 for Ling-1T. Maximum output per response: Ling-1T up to 32,000, Gemma 4 12B IT up to 32,768, GLM-4.6 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ling-1T accepts text; Gemma 4 12B IT accepts text and images; GLM-4.6 accepts text. Gemma 4 12B IT handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Gemma 4 12B IT is the newest, released Jun 9, 2026. Ling-1T came out Oct 2025; GLM-4.6 came out Sep 30, 2025. Knowledge cutoff: Ling-1T Jun 2024, GLM-4.6 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.
