Gemma 4 12B IT vs GLM-4.7-FlashX vs Hy-MT2-30B-A3B
Gemma 4 12B IT comes out ahead, 70 to 59 and 44 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemma 4 12B IT
70/100- ECI—
- Price$0.075 / $0.275
- Context262K
Z.ai (Zhipu)GLM-4.7-FlashX
59/100- ECI—
- Price$0.07 / $0.40
- Context200K
TencentHy-MT2-30B-A3B
44/100- ECI—
- Price$0.074 / $0.295
- Context8K
Gemma 4 12B IT is our pick
Gemma 4 12B IT is the better all-round choice, scoring 70/100 against GLM-4.7-FlashX (59) and Hy-MT2-30B-A3B (44). It leads on 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 · Hy-MT2-30B-A3B $0.129 · GLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend)
- Longest contextGemma 4 12B ITGemma 4 12B IT 262,144 · GLM-4.7-FlashX 200,000 · Hy-MT2-30B-A3B 8,192 tokens
- Widest inputsGemma 4 12B ITGemma 4 12B IT: Text, Images · GLM-4.7-FlashX: Text · Hy-MT2-30B-A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 4 12B IT | GLM-4.7-FlashX | Hy-MT2-30B-A3B |
|---|---|---|---|---|
| Price | 50% | 89 | 85 | 88 |
| Inputs & features | 30% | 60 | 35 | 0 |
| Context window | 20% | 37 | 32 | 0 |
| Overall | 100% | 70/100 | 59/100 | 44/100 |
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 | Gemma 4 12B ITGoogle | GLM-4.7-FlashXZ.ai (Zhipu) | Hy-MT2-30B-A3BTencent |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.075 | $0.07 (best) | $0.074 |
| Output | $0.275 (best) | $0.40 | $0.295 |
| Cached input | — | $0.01 | — |
| Blended (3:1) | $0.125 (best) | $0.152 | $0.129 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Z.AI API | Median of 3 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 200,000 tokens | 8,192 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | glm-4.7-flashx | — |
| API providers | 2 | 10 (best) | 3 |
| Released | Jun 9, 2026 | Jan 19, 2026 | May 21, 2026 |
| Knowledge cutoff | — | 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.
- Gemma 4 12B IT$1.30
- GLM-4.7-FlashX$1.50
- Hy-MT2-30B-A3B$1.33
Which should you choose?
Which is better: Gemma 4 12B IT, GLM-4.7-FlashX or Hy-MT2-30B-A3B?
Gemma 4 12B IT is the better all-round choice, scoring 70/100 against GLM-4.7-FlashX (59) and Hy-MT2-30B-A3B (44). It leads on 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, Gemma 4 12B IT, GLM-4.7-FlashX or Hy-MT2-30B-A3B?
Gemma 4 12B IT is cheaper at $0.075 input / $0.275 output per million tokens (median across 2 API providers). Hy-MT2-30B-A3B costs $0.074 input / $0.295 output per million tokens (median across 3 API providers); GLM-4.7-FlashX costs $0.07 input / $0.40 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 $0.129 for Hy-MT2-30B-A3B (1× as much) and $0.152 for GLM-4.7-FlashX (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 4 12B IT has not been scored yet, GLM-4.7-FlashX has not been scored yet and Hy-MT2-30B-A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 12B IT, GLM-4.7-FlashX and Hy-MT2-30B-A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hy-MT2-30B-A3B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Gemma 4 12B IT has the largest context window at 262,144 tokens, against 200,000 for GLM-4.7-FlashX and 8,192 for Hy-MT2-30B-A3B. Maximum output per response: Gemma 4 12B IT up to 32,768, GLM-4.7-FlashX up to 131,072, Hy-MT2-30B-A3B up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 12B IT accepts text and images; GLM-4.7-FlashX accepts text; Hy-MT2-30B-A3B 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. Hy-MT2-30B-A3B came out May 21, 2026; GLM-4.7-FlashX came out Jan 19, 2026. Knowledge cutoff: GLM-4.7-FlashX 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 Nov 2, 2026.
