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Comparison · 3 models · Updated Oct 4, 2026

GPT-4o vs Mixtral 8x22B vs Nova Pro

Nova Pro comes out ahead, 48 to 43 and 33 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
  2. Mistral AI

    Mixtral 8x22B

    Released Apr 17, 2024

    33/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context64K
  3. Our pick

    Amazon

    Nova Pro

    Released Dec 3, 2024

    48/100
    • ECI123.8
    • Price$0.80 / $3.20
    • Context300K
01 — Verdict

Nova Pro is our pick

Nova Pro is the better all-round choice, scoring 48/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Nova Pro 123.8 · Mixtral 8x22B 122.0
  • Lowest priceNova ProNova Pro $1.40 · Mixtral 8x22B $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextNova ProNova Pro 300,000 · GPT-4o 128,000 · Mixtral 8x22B 64,000 tokens
  • Widest inputsNova ProGPT-4o: Text, Images, PDFs · Mixtral 8x22B: Text · Nova Pro: Text, Images, PDFs, Video
  • Self-hostingMixtral 8x22BPublishes downloadable weights
How the score is built
MeasureWeightGPT-4oMixtral 8x22BNova Pro
CapabilityCapabilities Index (ECI)50%524345
Price25%192743
Inputs & features15%702570
Context window10%241239
Overall100%43/10033/10048/100
02 — Side by side

Every spec in one table

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

GPT-4o vs Mixtral 8x22B vs Nova Pro specifications side by side
SpecificationGPT-4oOpenAIMixtral 8x22BMistral AINova ProAmazon
Capability
Capabilities Index (ECI)129.0 (best)122.0123.8
ECI rank#129 of 148 (best)#139 of 148#137 of 148
GPQA DiamondGraduate-level science questions48.9% (best)34.1%—
OTIS Mock AIME 2024–2025Competition mathematics6.3%——
Price per million tokens
Input$2.50$2.00$0.80 (best)
Output$10.00$6.00$3.20 (best)
Cached input$1.25—$0.20 (best)
Blended (3:1)$4.38$3.00$1.40 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Mistral APIOfficial Amazon Bedrock API
Limits
Context window128,000 tokens64,000 tokens300,000 tokens (best)
Max output16,384 tokens64,000 tokens (best)10,000 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoYes
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-4oopen-mixtral-8x22bamazon.nova-pro-v1:0
API providers19 (best)13
ReleasedMay 13, 2024Apr 17, 2024Dec 3, 2024
Knowledge cutoffSep 2023Apr 2024Oct 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.

  • GPT-4o$45.00
  • Mixtral 8x22B$32.00
  • Nova Pro$14.40
04 — Questions

Which should you choose?

Which is better: GPT-4o, Mixtral 8x22B or Nova Pro?

Nova Pro is the better all-round choice, scoring 48/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4o, Mixtral 8x22B or Nova Pro?

Nova Pro is cheaper at $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). 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 $1.40 per million tokens for Nova Pro versus $3.00 for Mixtral 8x22B (2.1× as much) and $4.38 for GPT-4o (3.1× as much).

Which scores higher on benchmarks?

GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#129 of 148), Nova Pro 123.8 (#137 of 148) and Mixtral 8x22B 122.0 (#139 of 148). The confidence ranges of the top two overlap (124.2–131.5 vs 108.8–126.6), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o, Mixtral 8x22B and Nova Pro yet, so there is no like-for-like coding score. On overall capability, GPT-4o 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?

Nova Pro has the largest context window at 300,000 tokens, against 128,000 for GPT-4o and 64,000 for Mixtral 8x22B. Maximum output per response: GPT-4o up to 16,384, Mixtral 8x22B up to 64,000, Nova Pro up to 10,000 tokens.

Which can read images, PDFs, audio or video?

GPT-4o accepts text, images and PDFs; Mixtral 8x22B accepts text; Nova Pro accepts text, images, PDFs and video. Nova Pro handles the widest range of inputs.

Are any of these open source?

Mixtral 8x22B publishes its weights and can be self-hosted; GPT-4o and Nova Pro is proprietary.

Which is newer?

Nova Pro is the newest, released Dec 3, 2024. GPT-4o came out May 13, 2024; Mixtral 8x22B came out Apr 17, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mixtral 8x22B Apr 2024, Nova Pro Oct 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 Oct 4, 2026.