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Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3 vs Qwen2.5 7B Instruct vs Mixtral 8x7B

Claude Haiku 3 comes out ahead, 47 to 44 and 37 on our weighted score, though Qwen2.5 7B Instruct is 39% cheaper per token.

  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. Alibaba (Qwen)

    Qwen2.5 7B Instruct

    Released Sep 19, 2024

    44/100
    • ECI118.5
    • Price$0.175 / $0.70
    • Context131K
    Full specs Remove Qwen2.5 7B Instruct

  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 Qwen2.5 7B Instruct (44) and Mixtral 8x7B (37). It leads on inputs & features and context window. Qwen2.5 7B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen2.5 7B InstructCapabilities Index (ECI): Qwen2.5 7B Instruct 118.5 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
  • Lowest priceQwen2.5 7B InstructQwen2.5 7B Instruct $0.306 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Qwen2.5 7B Instruct 131,072 · Mixtral 8x7B 32,000 tokens
  • Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Qwen2.5 7B Instruct: Text · Mixtral 8x7B: Text
  • Self-hostingQwen2.5 7B Instruct and Mixtral 8x7BPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3Qwen2.5 7B InstructMixtral 8x7B
CapabilityCapabilities Index (ECI)50%383838
Price25%647457
Inputs & features15%602525
Context window10%32240
Overall100%47/10044/10037/100
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 Qwen2.5 7B Instruct vs Mixtral 8x7B specifications side by side
SpecificationClaude Haiku 3AnthropicQwen2.5 7B InstructAlibaba (Qwen)Mixtral 8x7BMistral AI
Capability
Capabilities Index (ECI)118.4118.5 (best)118.5
ECI rank#143 of 148#141 of 148 (best)#142 of 148
GPQA DiamondGraduate-level science questions36.3% (best)35.5%30.6%
OTIS Mock AIME 2024–2025Competition mathematics1.8%2.5% (best)—
Price per million tokens
Input$0.25$0.175 (best)$0.70
Output$1.25$0.70 (best)$0.70 (best)
Cached input———
Blended (3:1)$0.50$0.306 (best)$0.70
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba APIOfficial Mistral API
Limits
Context window200,000 tokens (best)131,072 tokens32,000 tokens
Max output4,096 tokens8,192 tokens32,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryOpenOpen
API model ID—qwen2-5-7b-instructopen-mixtral-8x7b
API providers2 (best)11
ReleasedMar 13, 2024Sep 19, 2024Dec 11, 2023
Knowledge cutoffAug 31, 2023Apr 2024Jan 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
  • Qwen2.5 7B Instruct$3.15
  • Mixtral 8x7B$8.40
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3, Qwen2.5 7B Instruct or Mixtral 8x7B?

Claude Haiku 3 is the better all-round choice, scoring 47/100 against Qwen2.5 7B Instruct (44) and Mixtral 8x7B (37). It leads on inputs & features and context window. Qwen2.5 7B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 3, Qwen2.5 7B Instruct or Mixtral 8x7B?

Qwen2.5 7B Instruct is cheaper at $0.175 input / $0.70 output per million tokens (official Alibaba API price). Claude Haiku 3 costs $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). At a typical mix of three input tokens to one output token, that is $0.306 per million tokens for Qwen2.5 7B Instruct versus $0.50 for Claude Haiku 3 (1.6× as much) and $0.70 for Mixtral 8x7B (2.3× as much).

Which scores higher on benchmarks?

Qwen2.5 7B Instruct scores higher on the Capabilities Index (ECI): Qwen2.5 7B Instruct 118.5 (#141 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). The confidence ranges of the top two overlap (110.7–121.3 vs 111.3–121.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Qwen2.5 7B Instruct 35.5%, Mixtral 8x7B 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 3, Qwen2.5 7B Instruct and Mixtral 8x7B yet, so there is no like-for-like coding score. On overall capability, Qwen2.5 7B 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?

Claude Haiku 3 has the largest context window at 200,000 tokens, against 131,072 for Qwen2.5 7B Instruct and 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3 up to 4,096, Qwen2.5 7B Instruct up to 8,192, Mixtral 8x7B up to 32,000 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 3 accepts text, images and PDFs; Qwen2.5 7B Instruct accepts text; Mixtral 8x7B accepts text. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Qwen2.5 7B Instruct and Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 3 is proprietary.

Which is newer?

Qwen2.5 7B Instruct is the newest, released Sep 19, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Qwen2.5 7B Instruct Apr 2024, 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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