Mistral Large vs Saba vs Gemma 2 27B
Too close to call on our weighted score (Saba 46, Mistral Large 45, Gemma 2 27B 28). The right pick depends on what you value most.
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
- Mistral AI
Saba
46/100- ECI—
- Price$0.20 / $0.60
- Context33K
GoogleGemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Too close to call
It is close. Our weighted score puts them within 1 points (Saba 46/100, Mistral Large 45/100, Gemma 2 27B 28/100), so choose by what matters most for your work: Saba on price and Mistral Large for long inputs. 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 priceSabaSaba $0.30 · Gemma 2 27B $0.65 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextMistral LargeMistral Large 128,000 · Saba 32,768 · Gemma 2 27B 8,192 tokens
- Widest inputsMistral Large and SabaMistral Large: Text, PDFs · Saba: Text, PDFs · Gemma 2 27B: Text
- Self-hostingGemma 2 27BPublishes downloadable weights
| Measure | Weight | Mistral Large | Saba | Gemma 2 27B |
|---|---|---|---|---|
| Price | 50% | 53 | 72 | 56 |
| Inputs & features | 30% | 45 | 35 | 0 |
| Context window | 20% | 24 | 0 | 0 |
| Overall | 100% | 45/100 | 46/100 | 28/100 |
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 | Mistral LargeMistral AI | SabaMistral AI | Gemma 2 27BGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.0 | — | 122.1 (best) |
| ECI rank | #153 of 165 | — | #152 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 38.8% (best) | — | 36.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.9% (best) | — | 1.4% |
| Price per million tokens | |||
| Input | $0.50 | $0.20 (best) | $0.65 |
| Output | $1.50 | $0.60 (best) | $0.65 |
| Cached input | $0.05 | — | — |
| Blended (3:1) | $0.75 | $0.30 (best) | $0.65 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 4 providers | Median of 3 providers |
| Limits | |||
| Context window | 128,000 tokens (best) | 32,768 tokens | 8,192 tokens |
| Max output | 102,400 tokens (best) | 26,214 tokens | 2,048 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | mistral-large-latest | — | — |
| API providers | 11 (best) | 4 | 3 |
| Released | Feb 26, 2024 | Feb 17, 2025 | Jul 13, 2024 |
| Knowledge cutoff | Nov 30, 2024 | Sep 30, 2024 | Jun 30, 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 Large$8.00
- Saba$3.20
- Gemma 2 27B$7.80
Which should you choose?
Which is better: Mistral Large, Saba or Gemma 2 27B?
It is close. Our weighted score puts them within 1 points (Saba 46/100, Mistral Large 45/100, Gemma 2 27B 28/100), so choose by what matters most for your work: Saba on price and Mistral Large for long inputs. 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, Mistral Large, Saba or Gemma 2 27B?
Saba is cheaper at $0.20 input / $0.60 output per million tokens (median across 4 API providers). Gemma 2 27B costs $0.65 input / $0.65 output per million tokens (median across 3 API providers); Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.30 per million tokens for Saba versus $0.65 for Gemma 2 27B (2.2× as much) and $0.75 for Mistral Large (2.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Large has an ECI of 122.0, Saba has not been scored yet and Gemma 2 27B has an ECI of 122.1.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large, Saba and Gemma 2 27B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral Large has the largest context window at 128,000 tokens, against 32,768 for Saba and 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large up to 102,400, Saba up to 26,214, Gemma 2 27B up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Mistral Large accepts text and PDFs; Saba accepts text and PDFs; Gemma 2 27B accepts text. Mistral Large handles the widest range of inputs.
Are any of these open source?
Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large and Saba is proprietary.
Which is newer?
Saba is the newest, released Feb 17, 2025. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Saba Sep 30, 2024, Gemma 2 27B Jun 30, 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.
