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Comparison · 3 models · Updated Oct 4, 2026

Mixtral 8x22B vs Llama 4 Scout 17B Instruct vs GPT-4o

Llama 4 Scout 17B Instruct comes out ahead, 62 to 43 and 33 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mixtral 8x22B

    Released Apr 17, 2024

    33/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context64K
    Full specs Remove Mixtral 8x22B
  2. Our pick

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    62/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  3. OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove GPT-4o
01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · GPT-4o 129.0 · Mixtral 8x22B 122.0
  • Lowest priceLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct $0.341 · Mixtral 8x22B $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · GPT-4o 128,000 · Mixtral 8x22B 64,000 tokens
  • Widest inputsGPT-4oMixtral 8x22B: Text · Llama 4 Scout 17B Instruct: Text, Images · GPT-4o: Text, Images, PDFs
  • Self-hostingMixtral 8x22B and Llama 4 Scout 17B InstructPublishes downloadable weights
How the score is built
MeasureWeightMixtral 8x22BLlama 4 Scout 17B InstructGPT-4o
CapabilityCapabilities Index (ECI)50%435252
Price25%277219
Inputs & features15%255070
Context window10%1210024
Overall100%33/10062/10043/100
02 — Side by side

Every spec in one table

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

Mixtral 8x22B vs Llama 4 Scout 17B Instruct vs GPT-4o specifications side by side
SpecificationMixtral 8x22BMistral AILlama 4 Scout 17B InstructMetaGPT-4oOpenAI
Capability
Capabilities Index (ECI)122.0129.7 (best)129.0
ECI rank#139 of 148#126 of 148 (best)#129 of 148
GPQA DiamondGraduate-level science questions34.1%51.8% (best)48.9%
OTIS Mock AIME 2024–2025Competition mathematics—7.8% (best)6.3%
Price per million tokens
Input$2.00$0.225 (best)$2.50
Output$6.00$0.69 (best)$10.00
Cached input——$1.25
Blended (3:1)$3.00$0.341 (best)$4.38
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 4 providersOfficial OpenAI API
Limits
Context window64,000 tokens10,000,000 tokens (best)128,000 tokens
Max output64,000 tokens (best)16,384 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model IDopen-mixtral-8x22b—gpt-4o
API providers1419 (best)
ReleasedApr 17, 2024Apr 5, 2025May 13, 2024
Knowledge cutoffApr 2024Aug 2024Sep 2023
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.

  • Mixtral 8x22B$32.00
  • Llama 4 Scout 17B Instruct$3.63
  • GPT-4o$45.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x22B, Llama 4 Scout 17B Instruct or GPT-4o?

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x22B, Llama 4 Scout 17B Instruct or GPT-4o?

Llama 4 Scout 17B Instruct is cheaper at $0.225 input / $0.69 output per million tokens (median across 4 API providers). Mixtral 8x22B costs $2.00 input / $6.00 output per million tokens (official Mistral API price); GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.341 per million tokens for Llama 4 Scout 17B Instruct versus $3.00 for Mixtral 8x22B (8.8× as much) and $4.38 for GPT-4o (13× as much).

Which scores higher on benchmarks?

Llama 4 Scout 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 (#126 of 148), GPT-4o 129.0 (#129 of 148) and Mixtral 8x22B 122.0 (#139 of 148). The confidence ranges of the top two overlap (124.8–131.4 vs 124.2–131.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, GPT-4o 48.9%, Mixtral 8x22B 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x22B, Llama 4 Scout 17B Instruct and GPT-4o yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 128,000 for GPT-4o and 64,000 for Mixtral 8x22B. Maximum output per response: Mixtral 8x22B up to 64,000, Llama 4 Scout 17B Instruct up to 16,384, GPT-4o up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x22B accepts text; Llama 4 Scout 17B Instruct accepts text and images; GPT-4o accepts text, images and PDFs. GPT-4o handles the widest range of inputs.

Are any of these open source?

Mixtral 8x22B and Llama 4 Scout 17B Instruct publishes its weights and can be self-hosted; GPT-4o is proprietary.

Which is newer?

Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. GPT-4o came out May 13, 2024; Mixtral 8x22B came out Apr 17, 2024. Knowledge cutoff: Mixtral 8x22B Apr 2024, Llama 4 Scout 17B Instruct Aug 2024, GPT-4o Sep 2023.

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 Oct 4, 2026.

05 — Keep comparing

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