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Comparison · 3 models · Updated Nov 2, 2026

Mixtral 8x7B Instruct v0.1 vs GPT-4o mini vs Claude Haiku 3

GPT-4o mini comes out ahead, 55 to 46 and 34 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mixtral 8x7B Instruct v0.1

    Released Dec 11, 2023

    34/100
    • ECI118.4
    • Price$0.444 / $0.579
    • Context33K
  2. Our pick

    OpenAI

    GPT-4o mini

    Released Jul 18, 2024

    55/100
    • ECI126.5
    • Price$0.15 / $0.60
    • Context128K
  3. Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    46/100
    • ECI118.8
    • Price$0.25 / $1.25
    • Context200K
01 — Verdict

GPT-4o mini is our pick

GPT-4o mini is the better all-round choice, scoring 55/100 against Claude Haiku 3 (46) and Mixtral 8x7B Instruct v0.1 (34). It leads on capability, price and inputs & features. Claude Haiku 3 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4o miniCapabilities Index (ECI): GPT-4o mini 126.5 · Claude Haiku 3 118.8 · Mixtral 8x7B Instruct v0.1 118.4
  • Lowest priceGPT-4o miniGPT-4o mini $0.263 · Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · GPT-4o mini 128,000 · Mixtral 8x7B Instruct v0.1 32,768 tokens
  • Widest inputsGPT-4o mini and Claude Haiku 3Mixtral 8x7B Instruct v0.1: Text · GPT-4o mini: Text, Images, PDFs · Claude Haiku 3: Text, Images, PDFs
  • Self-hostingMixtral 8x7B Instruct v0.1Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightMixtral 8x7B Instruct v0.1GPT-4o miniClaude Haiku 3
CapabilityCapabilities Index (ECI)50%384738
Price25%627461
Inputs & features15%07060
Context window10%02432
Overall100%34/10055/10046/100
02 — Side by side

Every spec in one table

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

Mixtral 8x7B Instruct v0.1 vs GPT-4o mini vs Claude Haiku 3 specifications side by side
SpecificationMixtral 8x7B Instruct v0.1Mistral AIGPT-4o miniOpenAIClaude Haiku 3Anthropic
Capability
Capabilities Index (ECI)118.4126.5 (best)118.8
ECI rank#160 of 165#148 of 165 (best)#156 of 165
GPQA DiamondGraduate-level science questions30.6%37.7% (best)36.3%
FrontierMath Tiers 1–3Research-level mathematics—0.7%—
OTIS Mock AIME 2024–2025Competition mathematics—6.9% (best)1.8%
SimpleQA VerifiedShort factual questions—8.3%—
Price per million tokens
Input$0.444$0.15 (best)$0.25
Output$0.579 (best)$0.60$1.25
Cached input—$0.075—
Blended (3:1)$0.478$0.263 (best)$0.50
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial OpenAI APIMedian of 3 providers
Limits
Context window32,768 tokens128,000 tokens200,000 tokens (best)
Max output32,768 tokens (best)16,384 tokens4,096 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingNoYesYes
Structured outputNoYesNo
Availability
WeightsOpenApache 2.0ProprietaryProprietary
API model ID—gpt-4o-mini—
API providers226 (best)3
ReleasedDec 11, 2023Jul 18, 2024Mar 13, 2024
Knowledge cutoff—Sep 2023Aug 31, 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 8x7B Instruct v0.1$5.60
  • GPT-4o mini$2.70
  • Claude Haiku 3$5.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x7B Instruct v0.1, GPT-4o mini or Claude Haiku 3?

GPT-4o mini is the better all-round choice, scoring 55/100 against Claude Haiku 3 (46) and Mixtral 8x7B Instruct v0.1 (34). It leads on capability, price and inputs & features. Claude Haiku 3 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x7B Instruct v0.1, GPT-4o mini or Claude Haiku 3?

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Mixtral 8x7B Instruct v0.1 costs $0.444 input / $0.579 output per million tokens (median across 2 API providers); Claude Haiku 3 costs $0.25 input / $1.25 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $0.478 for Mixtral 8x7B Instruct v0.1 (1.8× as much) and $0.50 for Claude Haiku 3 (1.9× as much).

Which scores higher on benchmarks?

GPT-4o mini scores higher on the Capabilities Index (ECI): GPT-4o mini 126.5 (#148 of 165), Claude Haiku 3 118.8 (#156 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (120.5–128.6 vs 111.7–121.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4o mini 37.7%, Claude Haiku 3 36.3%, Mixtral 8x7B Instruct v0.1 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1, GPT-4o mini and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, GPT-4o mini leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for GPT-4o mini and 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, GPT-4o mini up to 16,384, Claude Haiku 3 up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x7B Instruct v0.1 accepts text; GPT-4o mini accepts text, images and PDFs; Claude Haiku 3 accepts text, images and PDFs. GPT-4o mini handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B Instruct v0.1 publishes its weights (Apache 2.0) and can be self-hosted; GPT-4o mini and Claude Haiku 3 is proprietary.

Which is newer?

GPT-4o mini is the newest, released Jul 18, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: GPT-4o mini Sep 2023, Claude Haiku 3 Aug 31, 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 Nov 2, 2026.