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Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3 vs GPT-4o vs Mixtral 8x7B

Claude Haiku 3 comes out ahead, 47 to 43 and 37 on our weighted score, and it is the cheaper option too.

  1. 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

  2. OpenAI

    GPT-4o

    Released May 13, 2024

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

  3. Mistral AI

    Mixtral 8x7B

    Released Dec 11, 2023

    37/100
    • ECI118.5
    • Price$0.70 / $0.70
    • Context32K
    Full specs Remove Mixtral 8x7B
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 8x7B (37). 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 8x7B 118.5 · Claude Haiku 3 118.4
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · GPT-4o 128,000 · Mixtral 8x7B 32,000 tokens
  • Widest inputsClaude Haiku 3 and GPT-4oClaude Haiku 3: Text, Images, PDFs · GPT-4o: Text, Images, PDFs · Mixtral 8x7B: Text
  • Self-hostingMixtral 8x7BPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3GPT-4oMixtral 8x7B
CapabilityCapabilities Index (ECI)50%385238
Price25%641957
Inputs & features15%607025
Context window10%32240
Overall100%47/10043/10037/100
02 — Side by side

Every spec in one table

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

Claude Haiku 3 vs GPT-4o vs Mixtral 8x7B specifications side by side
SpecificationClaude Haiku 3AnthropicGPT-4oOpenAIMixtral 8x7BMistral AI
Capability
Capabilities Index (ECI)118.4129.0 (best)118.5
ECI rank#143 of 148#129 of 148 (best)#142 of 148
GPQA DiamondGraduate-level science questions36.3%48.9% (best)30.6%
OTIS Mock AIME 2024–2025Competition mathematics1.8%6.3% (best)—
Price per million tokens
Input$0.25 (best)$2.50$0.70
Output$1.25$10.00$0.70 (best)
Cached input—$1.25—
Blended (3:1)$0.50 (best)$4.38$0.70
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial OpenAI APIOfficial Mistral API
Limits
Context window200,000 tokens (best)128,000 tokens32,000 tokens
Max output4,096 tokens16,384 tokens32,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsProprietaryProprietaryOpen
API model ID—gpt-4oopen-mixtral-8x7b
API providers219 (best)1
ReleasedMar 13, 2024May 13, 2024Dec 11, 2023
Knowledge cutoffAug 31, 2023Sep 2023Jan 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.

  • Claude Haiku 3$5.00
  • GPT-4o$45.00
  • Mixtral 8x7B$8.40
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3, GPT-4o or Mixtral 8x7B?

Claude Haiku 3 is the better all-round choice, scoring 47/100 against GPT-4o (43) and Mixtral 8x7B (37). 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, Claude Haiku 3, GPT-4o or Mixtral 8x7B?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 2 API providers). Mixtral 8x7B costs $0.70 input / $0.70 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 $0.70 for Mixtral 8x7B (1.4× 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 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). Their confidence ranges do not overlap (124.2–131.5 vs 111.3–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-4o 48.9%, Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 3, GPT-4o and Mixtral 8x7B 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 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3 up to 4,096, GPT-4o up to 16,384, Mixtral 8x7B up to 32,000 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 3 accepts text, images and PDFs; GPT-4o accepts text, images and PDFs; Mixtral 8x7B accepts text. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B 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. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, GPT-4o Sep 2023, Mixtral 8x7B Jan 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.

05 — Keep comparing

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