Gemma 2 27B vs Mixtral 8x22B Instruct vs Mixtral 8x7B Instruct v0.1
Too close to call on our weighted score (Gemma 2 27B 35, Mixtral 8x7B Instruct v0.1 34, Mixtral 8x22B Instruct 34). The right pick depends on what you value most.
GoogleGemma 2 27B
35/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Mistral AIMixtral 8x22B Instruct
34/100- ECI122.0
- Price$2.00 / $6.00
- Context66K
- Mistral AI
Mixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
Too close to call
It is close. Our weighted score puts them within a point (Gemma 2 27B 35/100, Mixtral 8x7B Instruct v0.1 34/100, Mixtral 8x22B Instruct 34/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Mixtral 8x7B Instruct v0.1 on price and Mixtral 8x22B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemma 2 27BCapabilities Index (ECI): Gemma 2 27B 122.1 · Mixtral 8x22B Instruct 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 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend)
- Longest contextMixtral 8x22B InstructMixtral 8x22B Instruct 65,536 · Mixtral 8x7B Instruct v0.1 32,768 · Gemma 2 27B 8,192 tokens
- Widest inputsMixtral 8x22B InstructGemma 2 27B: Text · Mixtral 8x22B Instruct: Text, PDFs · Mixtral 8x7B Instruct v0.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 2 27B | Mixtral 8x22B Instruct | Mixtral 8x7B Instruct v0.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 42 | 42 | 38 |
| Price | 25% | 56 | 26 | 62 |
| Inputs & features | 15% | 0 | 35 | 0 |
| Context window | 10% | 0 | 12 | 0 |
| Overall | 100% | 35/100 | 34/100 | 34/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 2 27BGoogle | Mixtral 8x22B InstructMistral AI | Mixtral 8x7B Instruct v0.1Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.1 (best) | 122.0 | 118.4 |
| ECI rank | #152 of 165 (best) | #155 of 165 | #160 of 165 |
| GPQA DiamondGraduate-level science questions | 36.5% (best) | 34.1% | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.4% | — | — |
| Price per million tokens | |||
| Input | $0.65 | $2.00 | $0.444 (best) |
| Output | $0.65 | $6.00 | $0.579 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.65 | $3.00 | $0.478 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 5 providers | Median of 2 providers |
| Limits | |||
| Context window | 8,192 tokens | 65,536 tokens (best) | 32,768 tokens |
| Max output | 2,048 tokens | 52,428 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 | No | No |
| Availability | |||
| Weights | Open | Open | OpenApache 2.0 |
| API model ID | — | — | — |
| API providers | 3 | 5 (best) | 2 |
| Released | Jul 13, 2024 | Apr 17, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Jun 30, 2024 | Jan 31, 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
- Mixtral 8x22B Instruct$32.00
- Mixtral 8x7B Instruct v0.1$5.60
Which should you choose?
Which is better: Gemma 2 27B, Mixtral 8x22B Instruct or Mixtral 8x7B Instruct v0.1?
It is close. Our weighted score puts them within a point (Gemma 2 27B 35/100, Mixtral 8x7B Instruct v0.1 34/100, Mixtral 8x22B Instruct 34/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Mixtral 8x7B Instruct v0.1 on price and Mixtral 8x22B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 2 27B, Mixtral 8x22B Instruct 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); Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 API providers). 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 $3.00 for Mixtral 8x22B Instruct (6.3× 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), Mixtral 8x22B Instruct 122.0 (#155 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 115.7–124.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemma 2 27B 36.5%, Mixtral 8x22B Instruct 34.1%, Mixtral 8x7B Instruct v0.1 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 2 27B, Mixtral 8x22B Instruct 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?
Mixtral 8x22B Instruct has the largest context window at 65,536 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, Mixtral 8x22B Instruct up to 52,428, Mixtral 8x7B Instruct v0.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 2 27B accepts text; Mixtral 8x22B Instruct accepts text and PDFs; Mixtral 8x7B Instruct v0.1 accepts text. Mixtral 8x22B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, all three 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. Mixtral 8x22B Instruct came out Apr 17, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, Mixtral 8x22B Instruct Jan 31, 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.
Related comparisons
- Gemma 2 27B vs Mistral LargeMistral AI · ECI 122.0
- Gemma 2 27B vs Llama-3.1-70B-InstructMeta · ECI 125.9
- Gemma 2 27B vs Claude Haiku 3Anthropic · ECI 118.8
- Gemma 2 27B vs GPT-4o miniOpenAI · ECI 126.5
- Mixtral 8x22B Instruct vs GPT-4oOpenAI · ECI 129.0
- Mixtral 8x22B Instruct vs Claude Haiku 3.5Anthropic · ECI 127.0
