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Comparison · 3 models · Updated Oct 4, 2026

Mixtral 8x22B vs Claude Haiku 3 vs GPT-4o

Claude Haiku 3 comes out ahead, 47 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

    Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    47/100
    • ECI118.4
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3

  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

Claude Haiku 3 is our pick

Claude Haiku 3 is the better all-round choice, scoring 47/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Mixtral 8x22B 122.0 · Claude Haiku 3 118.4
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mixtral 8x22B $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · GPT-4o 128,000 · Mixtral 8x22B 64,000 tokens
  • Widest inputsClaude Haiku 3 and GPT-4oMixtral 8x22B: Text · Claude Haiku 3: Text, Images, PDFs · GPT-4o: Text, Images, PDFs
  • Self-hostingMixtral 8x22BPublishes downloadable weights
How the score is built
MeasureWeightMixtral 8x22BClaude Haiku 3GPT-4o
CapabilityCapabilities Index (ECI)50%433852
Price25%276419
Inputs & features15%256070
Context window10%123224
Overall100%33/10047/10043/100
02 — Side by side

Every spec in one table

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

Mixtral 8x22B vs Claude Haiku 3 vs GPT-4o specifications side by side
SpecificationMixtral 8x22BMistral AIClaude Haiku 3AnthropicGPT-4oOpenAI
Capability
Capabilities Index (ECI)122.0118.4129.0 (best)
ECI rank#139 of 148#143 of 148#129 of 148 (best)
GPQA DiamondGraduate-level science questions34.1%36.3%48.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics—1.8%6.3% (best)
Price per million tokens
Input$2.00$0.25 (best)$2.50
Output$6.00$1.25 (best)$10.00
Cached input——$1.25
Blended (3:1)$3.00$0.50 (best)$4.38
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 2 providersOfficial OpenAI API
Limits
Context window64,000 tokens200,000 tokens (best)128,000 tokens
Max output64,000 tokens (best)4,096 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model IDopen-mixtral-8x22b—gpt-4o
API providers1219 (best)
ReleasedApr 17, 2024Mar 13, 2024May 13, 2024
Knowledge cutoffApr 2024Aug 31, 2023Sep 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
  • Claude Haiku 3$5.00
  • GPT-4o$45.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x22B, Claude Haiku 3 or GPT-4o?

Claude Haiku 3 is the better all-round choice, scoring 47/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x22B, Claude Haiku 3 or GPT-4o?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 2 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 $0.50 per million tokens for Claude Haiku 3 versus $3.00 for Mixtral 8x22B (6× as much) and $4.38 for GPT-4o (8.8× as much).

Which scores higher on benchmarks?

GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#129 of 148), Mixtral 8x22B 122.0 (#139 of 148) and Claude Haiku 3 118.4 (#143 of 148). The confidence ranges of the top two overlap (124.2–131.5 vs 115.1–124.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4o 48.9%, Claude Haiku 3 36.3%, Mixtral 8x22B 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x22B, Claude Haiku 3 and GPT-4o 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?

Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for GPT-4o and 64,000 for Mixtral 8x22B. Maximum output per response: Mixtral 8x22B up to 64,000, Claude Haiku 3 up to 4,096, GPT-4o up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x22B accepts text; Claude Haiku 3 accepts text, images and PDFs; GPT-4o accepts text, images and PDFs. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x22B publishes its weights and can be self-hosted; Claude Haiku 3 and GPT-4o is proprietary.

Which is newer?

GPT-4o is the newest, released May 13, 2024. Mixtral 8x22B came out Apr 17, 2024; Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Mixtral 8x22B Apr 2024, Claude Haiku 3 Aug 31, 2023, 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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