Gemma 3 27B IT vs GLM-4.7-Flash vs Mistral Small 3.1 24B
Too close to call on our weighted score (Gemma 3 27B IT 49, GLM-4.7-Flash 47, Mistral Small 3.1 24B 40). The right pick depends on what you value most.
GoogleGemma 3 27B IT
49/100- ECI129.9
- Price$0.11 / $0.30
- Context131K
Z.ai (Zhipu)GLM-4.7-Flash
47/100- ECI—
- Price$0.07 / $0.40
- Context200K
Mistral AIMistral Small 3.1 24B
40/100- ECI127.5
- Price$0.351 / $0.555
- Context128K
Too close to call
It is close. Our weighted score puts them within 1 points (Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100, Mistral Small 3.1 24B 40/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, GLM-4.7-Flash 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.
- CapabilityGemma 3 27B ITShared benchmarks: Gemma 3 27B IT 35.1% · GLM-4.7-Flash 35.1% · Mistral Small 3.1 24B 26.7%
- Lowest priceGLM-4.7-FlashGLM-4.7-Flash $0.152 · Gemma 3 27B IT $0.157 · Mistral Small 3.1 24B $0.402 per 1M tokens (3:1 blend)
- Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 27B IT 131,072 · Mistral Small 3.1 24B 128,000 tokens
- Widest inputsGemma 3 27B IT and Mistral Small 3.1 24BGemma 3 27B IT: Text, Images · GLM-4.7-Flash: Text · Mistral Small 3.1 24B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3 27B IT | GLM-4.7-Flash | Mistral Small 3.1 24B |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 35 | 35 | 27 |
| Price | 25% | 84 | 85 | 66 |
| Inputs & features | 15% | 50 | 35 | 50 |
| Context window | 10% | 25 | 32 | 24 |
| Overall | 100% | 49/100 | 47/100 | 40/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 3 27B ITGoogle | GLM-4.7-FlashZ.ai (Zhipu) | Mistral Small 3.1 24BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 129.9 (best) | — | 127.5 |
| ECI rank | #137 of 165 (best) | — | #145 of 165 |
| GPQA DiamondGraduate-level science questions | 47.7% (best) | 45.1% | 47.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 22.5% | 25.0% (best) | 5.8% |
| Price per million tokens | |||
| Input | $0.11 | $0.07 (best) | $0.351 |
| Output | $0.30 (best) | $0.40 | $0.555 |
| Cached input | — | — | — |
| Blended (3:1) | $0.157 | $0.152 (best) | $0.402 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Median of 15 providers | Median of 9 providers |
| 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 | — |
| API providers | 17 | 24 (best) | 9 |
| Released | Mar 12, 2025 | Jan 19, 2026 | Mar 17, 2025 |
| Knowledge cutoff | Aug 2024 | Apr 2025 | Jun 2024 |
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 27B IT$1.69
- GLM-4.7-Flash$1.50
- Mistral Small 3.1 24B$4.62
Which should you choose?
Which is better: Gemma 3 27B IT, GLM-4.7-Flash or Mistral Small 3.1 24B?
It is close. Our weighted score puts them within 1 points (Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100, Mistral Small 3.1 24B 40/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, GLM-4.7-Flash 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 27B IT, GLM-4.7-Flash or Mistral Small 3.1 24B?
GLM-4.7-Flash is cheaper at $0.07 input / $0.40 output per million tokens (median across 15 API providers; free on Z.AI). Gemma 3 27B IT costs $0.11 input / $0.30 output per million tokens (median across 16 API providers); Mistral Small 3.1 24B costs $0.351 input / $0.555 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $0.152 per million tokens for GLM-4.7-Flash versus $0.157 for Gemma 3 27B IT (1× as much) and $0.402 for Mistral Small 3.1 24B (2.6× 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): Gemma 3 27B IT 35.1%, GLM-4.7-Flash 35.1% and Mistral Small 3.1 24B 26.7%. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, Mistral Small 3.1 24B 47.5%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — GLM-4.7-Flash 25.0%, Gemma 3 27B IT 22.5%, Mistral Small 3.1 24B 5.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3 27B IT, GLM-4.7-Flash and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. On overall capability, Gemma 3 27B IT 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 27B IT and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Gemma 3 27B IT up to 131,072, GLM-4.7-Flash up to 131,072, Mistral Small 3.1 24B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemma 3 27B IT accepts text and images; GLM-4.7-Flash accepts text; Mistral Small 3.1 24B accepts text and images. Gemma 3 27B 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 3.1 24B came out Mar 17, 2025; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 27B IT Aug 2024, GLM-4.7-Flash Apr 2025, Mistral Small 3.1 24B Jun 2024.
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.
