Mistral 7B Instruct v0.3 vs Gemma 2 27B
Gemma 2 27B comes out ahead, 28 to 22 on our weighted score, and it is the cheaper option too.
Mistral AIMistral 7B Instruct v0.3
22/100- ECI109.0
- Price—
- Context33K
- Our pick
GoogleGemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
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Make it a three-way comparison.
Gemma 2 27B is our pick
Gemma 2 27B is the better all-round choice, scoring 28/100 against Mistral 7B Instruct v0.3 (22). It leads on capability. Mistral 7B Instruct v0.3 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityGemma 2 27BCapabilities Index (ECI): Gemma 2 27B 122.1 · Mistral 7B Instruct v0.3 109.0
- Lowest priceGemma 2 27BGemma 2 27B $0.65 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
- Longest contextMistral 7B Instruct v0.3Mistral 7B Instruct v0.3 32,768 · Gemma 2 27B 8,192 tokens
- Widest inputsSame inputsMistral 7B Instruct v0.3: Text · Gemma 2 27B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral 7B Instruct v0.3 | Gemma 2 27B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 26 | 42 |
| Inputs & features | 20% | 25 | 0 |
| Context window | 13% | 0 | 0 |
| Overall | 100% | 22/100 | 28/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral 7B Instruct v0.3Mistral AI | Gemma 2 27BGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 109.0 | 122.1 (best) |
| ECI rank | #164 of 165 | #152 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 15.2% | 36.5% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 0.3% | 1.4% (best) |
| Price per million tokens | ||
| Input | — | $0.65 |
| Output | — | $0.65 |
| Cached input | — | — |
| Blended (3:1) | — | $0.65 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 3 providers |
| Limits | ||
| Context window | 32,768 tokens (best) | 8,192 tokens |
| Max output | 32,768 tokens (best) | 2,048 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | — |
| API providers | 1 | 3 (best) |
| Released | May 22, 2024 | Jul 13, 2024 |
| Knowledge cutoff | — | 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 7B Instruct v0.3—
- Gemma 2 27B$7.80
Which should you choose?
Which is better: Mistral 7B Instruct v0.3 or Gemma 2 27B?
Gemma 2 27B is the better all-round choice, scoring 28/100 against Mistral 7B Instruct v0.3 (22). It leads on capability. Mistral 7B Instruct v0.3 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Mistral 7B Instruct v0.3 or Gemma 2 27B?
Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus . Mistral 7B Instruct v0.3 has no published per-token price.
Which scores higher on benchmarks?
Gemma 2 27B scores higher on the Capabilities Index (ECI): Gemma 2 27B 122.1 (#152 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). Their confidence ranges do not overlap (115.8–124.1 vs 98.5–112.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Gemma 2 27B 36.5%, Mistral 7B Instruct v0.3 15.2%; OTIS Mock AIME 2024–2025 — Gemma 2 27B 1.4%, Mistral 7B Instruct v0.3 0.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral 7B Instruct v0.3 and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Gemma 2 27B leads, which tends to carry over to coding, but test on your own codebase. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral 7B Instruct v0.3 has the largest context window at 32,768 tokens, against 8,192 for Gemma 2 27B. Maximum output per response: Mistral 7B Instruct v0.3 up to 32,768, Gemma 2 27B up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Mistral 7B Instruct v0.3 accepts text; Gemma 2 27B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Gemma 2 27B is the newest, released Jul 13, 2024. Mistral 7B Instruct v0.3 came out May 22, 2024. Knowledge cutoff: 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.
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