Mistral Small 3 vs GLM-4.7-Flash vs Gemma 3 27B IT
Too close to call on our weighted score (Gemma 3 27B IT 49, GLM-4.7-Flash 47, Mistral Small 3 39). The right pick depends on what you value most.
Mistral AI
Mistral Small 3
39/100- ECI—
- Price$0.05 / $0.08
- Context33K
Z.ai (Zhipu)
GLM-4.7-Flash
47/100- ECI—
- Price$0.07 / $0.40
- Context200K
Google
Gemma 3 27B IT
49/100- ECI129.9
- Price$0.11 / $0.30
- Context131K
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 39/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, Mistral Small 3 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 Mistral Small 3 and 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 27.0%
- Lowest priceMistral Small 3Mistral Small 3 $0.058 · GLM-4.7-Flash $0.152 · Gemma 3 27B IT $0.157 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 32,768 tokens
- Widest inputsGemma 3 27B ITMistral Small 3: Text · GLM-4.7-Flash: Text · Gemma 3 27B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 3 | GLM-4.7-Flash | Gemma 3 27B IT |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 27 | 35 | 35 |
| Price | 25% | 100 | 85 | 84 |
| Inputs & features | 15% | 0 | 35 | 50 |
| Context window | 10% | 0 | 32 | 25 |
| Overall | 100% | 39/100 | 47/100 | 49/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | 129.9 |
| ECI rank | — | — | #137 of 165 |
| GPQA DiamondGraduate-level science questions | 47.3% | 45.1% | 47.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 6.7% | 25.0% (best) | 22.5% |
| Price per million tokens | |||
| Input | $0.05 (best) | $0.07 | $0.11 |
| Output | $0.08 (best) | $0.40 | $0.30 |
| Cached input | — | — | — |
| Blended (3:1) | $0.058 (best) | $0.152 | $0.157 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 6 providers | Median of 15 providers | Median of 16 providers |
| Limits | |||
| Context window | 32,768 tokens | 200,000 tokens (best) | 131,072 tokens |
| Max output | 16,384 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | glm-4.7-flash | — |
| API providers | 6 | 24 (best) | 17 |
| Released | Jan 30, 2025 | Jan 19, 2026 | Mar 12, 2025 |
| Knowledge cutoff | Oct 31, 2023 | Apr 2025 | Aug 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mistral Small 3$0.66
GLM-4.7-Flash$1.50
Gemma 3 27B IT$1.69
Which should you choose?
Which is better: Mistral Small 3, GLM-4.7-Flash or Gemma 3 27B IT?
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 39/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, Mistral Small 3 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 Mistral Small 3 and GLM-4.7-Flash has no Capabilities Index score yet.
Which is cheaper, Mistral Small 3, GLM-4.7-Flash or Gemma 3 27B IT?
Mistral Small 3 is cheaper at $0.05 input / $0.08 output per million tokens (median across 6 API providers). GLM-4.7-Flash costs $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). At a typical mix of three input tokens to one output token, that is $0.058 per million tokens for Mistral Small 3 versus $0.152 for GLM-4.7-Flash (2.7× as much) and $0.157 for Gemma 3 27B IT (2.7× 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 27.0%. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, Mistral Small 3 47.3%, 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 6.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3, GLM-4.7-Flash and Gemma 3 27B IT 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. Note that Mistral Small 3 does not support tool calling, which most coding agents need.
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 32,768 for Mistral Small 3. Maximum output per response: Mistral Small 3 up to 16,384, GLM-4.7-Flash up to 131,072, Gemma 3 27B IT up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3 accepts text; GLM-4.7-Flash accepts text; Gemma 3 27B IT 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. Gemma 3 27B IT came out Mar 12, 2025; Mistral Small 3 came out Jan 30, 2025. Knowledge cutoff: Mistral Small 3 Oct 31, 2023, GLM-4.7-Flash Apr 2025, Gemma 3 27B IT Aug 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.