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Comparison · 2 models · Updated Nov 2, 2026

Llama-3.2-90B-Vision-Instruct vs Mixtral 8x22B Instruct

Llama-3.2-90B-Vision-Instruct comes out ahead, 44 to 37 on our weighted score.

  1. Our pick

    Meta

    Llama-3.2-90B-Vision-Instruct

    Released Sep 25, 2024

    44/100
    • ECI125.5
    • Price—
    • Context128K
    Full specs Remove Llama-3.2-90B-Vision-Instruct

  2. Mistral AI

    Mixtral 8x22B Instruct

    Released Apr 17, 2024

    37/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context66K
    Full specs Remove Mixtral 8x22B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

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). 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 · Mixtral 8x22B Instruct 122.0
  • Lowest priceMixtral 8x22B InstructMixtral 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 tokens
  • Widest inputsSame inputsLlama-3.2-90B-Vision-Instruct: Text, Images · Mixtral 8x22B Instruct: Text, PDFs
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.2-90B-Vision-InstructMixtral 8x22B Instruct
CapabilityCapabilities Index (ECI)67%4642
Inputs & features20%5035
Context window13%2412
Overall100%44/10037/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama-3.2-90B-Vision-Instruct vs Mixtral 8x22B Instruct specifications side by side
SpecificationLlama-3.2-90B-Vision-InstructMetaMixtral 8x22B InstructMistral AI
Capability
Capabilities Index (ECI)125.5 (best)122.0
ECI rank#150 of 165 (best)#155 of 165
GPQA DiamondGraduate-level science questions41.0% (best)34.1%
OTIS Mock AIME 2024–2025Competition mathematics2.6%—
Price per million tokens
Input—$2.00
Output—$6.00
Cached input——
Blended (3:1)—$3.00
Long-context rate—Same rate
Price source—Median of 5 providers
Limits
Context window128,000 tokens (best)65,536 tokens
Max output4,096 tokens52,428 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenLlama 3.2 Community LicenseOpen
API model ID——
API providers15 (best)
ReleasedSep 25, 2024Apr 17, 2024
Knowledge cutoffDec 2023Jan 31, 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Llama-3.2-90B-Vision-Instruct—
  • Mixtral 8x22B Instruct$32.00
04 — Questions

Which should you choose?

Which is better: Llama-3.2-90B-Vision-Instruct or Mixtral 8x22B Instruct?

Llama-3.2-90B-Vision-Instruct is the better all-round choice, scoring 44/100 against Mixtral 8x22B Instruct (37). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Llama-3.2-90B-Vision-Instruct or Mixtral 8x22B Instruct?

Mixtral 8x22B Instruct is cheaper at $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 $3.00 per million tokens for Mixtral 8x22B Instruct versus . 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) and Mixtral 8x22B Instruct 122.0 (#155 of 165). The confidence ranges of the top two overlap (120.3–127.4 vs 115.7–124.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.2-90B-Vision-Instruct 41.0%, Mixtral 8x22B Instruct 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-90B-Vision-Instruct and Mixtral 8x22B Instruct 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. Both support tool calling for agent workflows.

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. Maximum output per response: Llama-3.2-90B-Vision-Instruct up to 4,096, Mixtral 8x22B Instruct up to 52,428 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-90B-Vision-Instruct accepts text and images; Mixtral 8x22B Instruct accepts text and PDFs. They handle the same number of input types.

Are any of these open source?

Yes, both 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. Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Llama-3.2-90B-Vision-Instruct Dec 2023, 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.

05 — Keep comparing

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