Gemma 3 12B IT vs GLM-4.7-Flash vs Mistral Small 3.2
Too close to call on our weighted score (Mistral Small 3.2 52, Gemma 3 12B IT 49, GLM-4.7-Flash 48). The right pick depends on what you value most.
GoogleGemma 3 12B IT
49/100- ECI123.5
- Price$0.05 / $0.15
- Context131K
Z.ai (Zhipu)GLM-4.7-Flash
48/100- ECI—
- Price$0.06 / $0.40
- Context200K
Mistral AIMistral Small 3.2
52/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
Too close to call
It is close. Our weighted score puts them within 3 points (Mistral Small 3.2 52/100, Gemma 3 12B IT 49/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability, Gemma 3 12B IT on price and GLM-4.7-Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GLM-4.7-Flash has no Capabilities Index score yet.
- CapabilityMistral Small 3.2Shared benchmarks: Mistral Small 3.2 39.7% · GLM-4.7-Flash 35.1% · Gemma 3 12B IT 28.1%
- Lowest priceGemma 3 12B ITGemma 3 12B IT $0.075 · GLM-4.7-Flash $0.145 · Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend)
- Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 12B IT 131,072 · Mistral Small 3.2 128,000 tokens
- Widest inputsGemma 3 12B IT and Mistral Small 3.2Gemma 3 12B IT: Text, Images · GLM-4.7-Flash: Text · Mistral Small 3.2: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3 12B IT | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 28 | 35 | 40 |
| Price | 25% | 100 | 90 | 89 |
| Inputs & features | 15% | 50 | 35 | 50 |
| Context window | 10% | 24 | 32 | 24 |
| Overall | 100% | 49/100 | 48/100 | 52/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 3 12B ITGoogle | GLM-4.7-FlashZ.ai (Zhipu) | Mistral Small 3.2Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 123.5 | — | 131.7 (best) |
| ECI rank | #138 of 148 | — | #123 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 39.5% | 45.1% | 49.1% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 16.7% | 25.0% | 30.3% (best) |
| Price per million tokens | |||
| Input | $0.05 (best) | $0.06 | $0.10 |
| Output | $0.15 (best) | $0.40 | $0.30 |
| Cached input | — | — | — |
| Blended (3:1) | $0.075 (best) | $0.145 | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 13 providers | Official Mistral API |
| Limits | |||
| Context window | 131,072 tokens | 200,000 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | glm-4.7-flash | mistral-small-2506 |
| API providers | 7 | 19 (best) | 6 |
| Released | Mar 12, 2025 | Jan 19, 2026 | Jun 20, 2025 |
| Knowledge cutoff | Aug 2024 | Apr 2025 | Mar 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 3 12B IT$0.80
- GLM-4.7-Flash$1.41
- Mistral Small 3.2$1.60
Which should you choose?
Which is better: Gemma 3 12B IT, GLM-4.7-Flash or Mistral Small 3.2?
It is close. Our weighted score puts them within 3 points (Mistral Small 3.2 52/100, Gemma 3 12B IT 49/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability, Gemma 3 12B IT on price and GLM-4.7-Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GLM-4.7-Flash has no Capabilities Index score yet.
Which is cheaper, Gemma 3 12B IT, GLM-4.7-Flash or Mistral Small 3.2?
Gemma 3 12B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 7 API providers). GLM-4.7-Flash costs $0.06 input / $0.40 output per million tokens (median across 13 API providers; free on Z.AI); Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for Gemma 3 12B IT versus $0.145 for GLM-4.7-Flash (1.9× as much) and $0.15 for Mistral Small 3.2 (2× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): Mistral Small 3.2 39.7%, GLM-4.7-Flash 35.1% and Gemma 3 12B IT 28.1%. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, GLM-4.7-Flash 45.1%, Gemma 3 12B IT 39.5%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, GLM-4.7-Flash 25.0%, Gemma 3 12B IT 16.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3 12B IT, GLM-4.7-Flash and Mistral Small 3.2 yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.2 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GLM-4.7-Flash has the largest context window at 200,000 tokens, against 131,072 for Gemma 3 12B IT and 128,000 for Mistral Small 3.2. Maximum output per response: Gemma 3 12B IT up to 131,072, GLM-4.7-Flash up to 131,072, Mistral Small 3.2 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemma 3 12B IT accepts text and images; GLM-4.7-Flash accepts text; Mistral Small 3.2 accepts text and images. Gemma 3 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?
GLM-4.7-Flash is the newest, released Jan 19, 2026. Mistral Small 3.2 came out Jun 20, 2025; Gemma 3 12B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 12B IT Aug 2024, GLM-4.7-Flash Apr 2025, Mistral Small 3.2 Mar 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.
