Mixtral 8x22B Instruct vs Llama-3.2-90B-Vision-Instruct vs Gemma 2 27B
Llama-3.2-90B-Vision-Instruct comes out ahead, 44 to 37 and 28 on our weighted score.
Mistral AIMixtral 8x22B Instruct
37/100- ECI122.0
- Price$2.00 / $6.00
- Context66K
- Our pick
MetaLlama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
GoogleGemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Llama-3.2-90B-Vision-Instruct is our pick
Llama-3.2-90B-Vision-Instruct is the better all-round choice, scoring 44/100 against Mixtral 8x22B Instruct (37) and Gemma 2 27B (28). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityLlama-3.2-90B-Vision-InstructCapabilities Index (ECI): Llama-3.2-90B-Vision-Instruct 125.5 · Gemma 2 27B 122.1 · Mixtral 8x22B Instruct 122.0
- Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
- Longest contextLlama-3.2-90B-Vision-InstructLlama-3.2-90B-Vision-Instruct 128,000 · Mixtral 8x22B Instruct 65,536 · Gemma 2 27B 8,192 tokens
- Widest inputsMixtral 8x22B Instruct and Llama-3.2-90B-Vision-InstructMixtral 8x22B Instruct: Text, PDFs · Llama-3.2-90B-Vision-Instruct: Text, Images · Gemma 2 27B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mixtral 8x22B Instruct | Llama-3.2-90B-Vision-Instruct | Gemma 2 27B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 42 | 46 | 42 |
| Inputs & features | 20% | 35 | 50 | 0 |
| Context window | 13% | 12 | 24 | 0 |
| Overall | 100% | 37/100 | 44/100 | 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 | Mixtral 8x22B InstructMistral AI | Llama-3.2-90B-Vision-InstructMeta | Gemma 2 27BGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.0 | 125.5 (best) | 122.1 |
| ECI rank | #155 of 165 | #150 of 165 (best) | #152 of 165 |
| GPQA DiamondGraduate-level science questions | 34.1% | 41.0% (best) | 36.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 2.6% (best) | 1.4% |
| Price per million tokens | |||
| Input | $2.00 | — | $0.65 (best) |
| Output | $6.00 | — | $0.65 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.00 | — | $0.65 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 5 providers | — | Median of 3 providers |
| Limits | |||
| Context window | 65,536 tokens | 128,000 tokens (best) | 8,192 tokens |
| Max output | 52,428 tokens (best) | 4,096 tokens | 2,048 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenLlama 3.2 Community License | Open |
| API model ID | — | — | — |
| API providers | 5 (best) | 1 | 3 |
| Released | Apr 17, 2024 | Sep 25, 2024 | Jul 13, 2024 |
| Knowledge cutoff | Jan 31, 2024 | Dec 2023 | 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.
- Mixtral 8x22B Instruct$32.00
- Llama-3.2-90B-Vision-Instruct—
- Gemma 2 27B$7.80
Which should you choose?
Which is better: Mixtral 8x22B Instruct, Llama-3.2-90B-Vision-Instruct or Gemma 2 27B?
Llama-3.2-90B-Vision-Instruct is the better all-round choice, scoring 44/100 against Mixtral 8x22B Instruct (37) and Gemma 2 27B (28). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Mixtral 8x22B Instruct, Llama-3.2-90B-Vision-Instruct or Gemma 2 27B?
Gemma 2 27B is cheaper at $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 $0.65 per million tokens for Gemma 2 27B versus $3.00 for Mixtral 8x22B Instruct (4.6× as much). Llama-3.2-90B-Vision-Instruct has no published per-token price.
Which scores higher on benchmarks?
Llama-3.2-90B-Vision-Instruct scores higher on the Capabilities Index (ECI): Llama-3.2-90B-Vision-Instruct 125.5 (#150 of 165), Gemma 2 27B 122.1 (#152 of 165) and Mixtral 8x22B Instruct 122.0 (#155 of 165). The confidence ranges of the top two overlap (120.3–127.4 vs 115.8–124.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.2-90B-Vision-Instruct 41.0%, Gemma 2 27B 36.5%, Mixtral 8x22B Instruct 34.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x22B Instruct, Llama-3.2-90B-Vision-Instruct and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Llama-3.2-90B-Vision-Instruct 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?
Llama-3.2-90B-Vision-Instruct has the largest context window at 128,000 tokens, against 65,536 for Mixtral 8x22B Instruct and 8,192 for Gemma 2 27B. Maximum output per response: Mixtral 8x22B Instruct up to 52,428, Llama-3.2-90B-Vision-Instruct up to 4,096, Gemma 2 27B up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x22B Instruct accepts text and PDFs; Llama-3.2-90B-Vision-Instruct accepts text and images; Gemma 2 27B accepts text. Mixtral 8x22B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Llama 3.2 Community License), so you can self-host them.
Which is newer?
Llama-3.2-90B-Vision-Instruct is the newest, released Sep 25, 2024. Gemma 2 27B came out Jul 13, 2024; Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Mixtral 8x22B Instruct Jan 31, 2024, Llama-3.2-90B-Vision-Instruct Dec 2023, 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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