Gemma 2 27B vs Mistral Large vs Mixtral 8x7B Instruct v0.1
Mistral Large comes out ahead, 44 to 35 and 34 on our weighted score, though Mixtral 8x7B Instruct v0.1 is 36% cheaper per token.
GoogleGemma 2 27B
35/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
- Our pick
Mistral AIMistral Large
44/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
- Mistral AI
Mixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
Mistral Large is our pick
Mistral Large is the better all-round choice, scoring 44/100 against Gemma 2 27B (35) and Mixtral 8x7B Instruct v0.1 (34). It leads on inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemma 2 27BCapabilities Index (ECI): Gemma 2 27B 122.1 · Mistral Large 122.0 · Mixtral 8x7B Instruct v0.1 118.4
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Gemma 2 27B $0.65 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextMistral LargeMistral Large 128,000 · Mixtral 8x7B Instruct v0.1 32,768 · Gemma 2 27B 8,192 tokens
- Widest inputsMistral LargeGemma 2 27B: Text · Mistral Large: Text, PDFs · Mixtral 8x7B Instruct v0.1: Text
- Self-hostingGemma 2 27B and Mixtral 8x7B Instruct v0.1Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemma 2 27B | Mistral Large | Mixtral 8x7B Instruct v0.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 42 | 42 | 38 |
| Price | 25% | 56 | 53 | 62 |
| Inputs & features | 15% | 0 | 45 | 0 |
| Context window | 10% | 0 | 24 | 0 |
| Overall | 100% | 35/100 | 44/100 | 34/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 2 27BGoogle | Mistral LargeMistral AI | Mixtral 8x7B Instruct v0.1Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.1 (best) | 122.0 | 118.4 |
| ECI rank | #152 of 165 (best) | #153 of 165 | #160 of 165 |
| GPQA DiamondGraduate-level science questions | 36.5% | 38.8% (best) | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.4% | 1.9% (best) | — |
| Price per million tokens | |||
| Input | $0.65 | $0.50 | $0.444 (best) |
| Output | $0.65 | $1.50 | $0.579 (best) |
| Cached input | — | $0.05 | — |
| Blended (3:1) | $0.65 | $0.75 | $0.478 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Mistral API | Median of 2 providers |
| Limits | |||
| Context window | 8,192 tokens | 128,000 tokens (best) | 32,768 tokens |
| Max output | 2,048 tokens | 102,400 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | OpenApache 2.0 |
| API model ID | — | mistral-large-latest | — |
| API providers | 3 | 11 (best) | 2 |
| Released | Jul 13, 2024 | Feb 26, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Jun 30, 2024 | Nov 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.
- Gemma 2 27B$7.80
- Mistral Large$8.00
- Mixtral 8x7B Instruct v0.1$5.60
Which should you choose?
Which is better: Gemma 2 27B, Mistral Large or Mixtral 8x7B Instruct v0.1?
Mistral Large is the better all-round choice, scoring 44/100 against Gemma 2 27B (35) and Mixtral 8x7B Instruct v0.1 (34). It leads on inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 2 27B, Mistral Large or Mixtral 8x7B Instruct v0.1?
Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 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 $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.65 for Gemma 2 27B (1.4× as much) and $0.75 for Mistral Large (1.6× as much).
Which scores higher on benchmarks?
Gemma 2 27B scores higher on the Capabilities Index (ECI): Gemma 2 27B 122.1 (#152 of 165), Mistral Large 122.0 (#153 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (115.8–124.1 vs 115.7–124.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Gemma 2 27B 36.5%, Mixtral 8x7B Instruct v0.1 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 2 27B, Mistral Large and Mixtral 8x7B Instruct v0.1 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 and Mixtral 8x7B Instruct v0.1 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 Mixtral 8x7B Instruct v0.1 and 8,192 for Gemma 2 27B. Maximum output per response: Gemma 2 27B up to 2,048, Mistral Large up to 102,400, Mixtral 8x7B Instruct v0.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 2 27B accepts text; Mistral Large accepts text and PDFs; Mixtral 8x7B Instruct v0.1 accepts text. Mistral Large handles the widest range of inputs.
Are any of these open source?
Gemma 2 27B and Mixtral 8x7B Instruct v0.1 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large is proprietary.
Which is newer?
Gemma 2 27B is the newest, released Jul 13, 2024. Mistral Large came out Feb 26, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, Mistral Large Nov 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.
