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Comparison · 3 models · Updated Oct 4, 2026

Qwen3 Max vs Mixtral 8x7B vs Claude Haiku 4.5

Claude Haiku 4.5 comes out ahead, 58 to 50 and 37 on our weighted score, though Mixtral 8x7B is 2.9× cheaper per token.

  1. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max

  2. Mistral AI

    Mixtral 8x7B

    Released Dec 11, 2023

    37/100
    • ECI118.5
    • Price$0.70 / $0.70
    • Context32K
    Full specs Remove Mixtral 8x7B
  3. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5
01 — Verdict

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Mixtral 8x7B (37). It leads on inputs & features. Qwen3 Max wins on context window. Mixtral 8x7B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Qwen3 Max 142.4 · Mixtral 8x7B 118.5
  • Lowest priceMixtral 8x7BMixtral 8x7B $0.70 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 4.5 200,000 · Mixtral 8x7B 32,000 tokens
  • Widest inputsClaude Haiku 4.5Qwen3 Max: Text · Mixtral 8x7B: Text · Claude Haiku 4.5: Text, Images, PDFs
  • Self-hostingMixtral 8x7BPublishes downloadable weights
How the score is built
MeasureWeightQwen3 MaxMixtral 8x7BClaude Haiku 4.5
CapabilityCapabilities Index (ECI)50%683869
Price25%325736
Inputs & features15%252580
Context window10%37032
Overall100%50/10037/10058/100
02 — Side by side

Every spec in one table

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

Qwen3 Max vs Mixtral 8x7B vs Claude Haiku 4.5 specifications side by side
SpecificationQwen3 MaxAlibaba (Qwen)Mixtral 8x7BMistral AIClaude Haiku 4.5Anthropic
Capability
Capabilities Index (ECI)142.4118.5142.4 (best)
ECI rank#91 of 148#142 of 148#90 of 148 (best)
GPQA DiamondGraduate-level science questions72.6% (best)30.6%71.2%
FrontierMath Tiers 1–3Research-level mathematics19.0%——
OTIS Mock AIME 2024–2025Competition mathematics73.3% (best)—66.7%
SimpleQA VerifiedShort factual questions48.8% (best)—13.2%
Price per million tokens
Input$1.20$0.70 (best)$1.00
Output$6.00$0.70 (best)$5.00
Cached input——$0.10
Blended (3:1)$2.40$0.70 (best)$2.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Mistral APIOfficial Anthropic API
Limits
Context window262,144 tokens (best)32,000 tokens200,000 tokens
Max output65,536 tokens (best)32,000 tokens64,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryOpenProprietary
API model IDqwen3-maxopen-mixtral-8x7bclaude-haiku-4-5
API providers16134 (best)
ReleasedSep 23, 2025Dec 11, 2023Oct 15, 2025
Knowledge cutoffApr 2025Jan 2024Feb 28, 2025
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.

  • Qwen3 Max$24.00
  • Mixtral 8x7B$8.40
  • Claude Haiku 4.5$20.00
04 — Questions

Which should you choose?

Which is better: Qwen3 Max, Mixtral 8x7B or Claude Haiku 4.5?

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Mixtral 8x7B (37). It leads on inputs & features. Qwen3 Max wins on context window. Mixtral 8x7B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 Max, Mixtral 8x7B or Claude Haiku 4.5?

Mixtral 8x7B is cheaper at $0.70 input / $0.70 output per million tokens (official Mistral API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Mixtral 8x7B versus $2.00 for Claude Haiku 4.5 (2.9× as much) and $2.40 for Qwen3 Max (3.4× as much).

Which scores higher on benchmarks?

Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Qwen3 Max 142.4 (#91 of 148) and Mixtral 8x7B 118.5 (#142 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%, Mixtral 8x7B 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max, Mixtral 8x7B and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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?

Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5 and 32,000 for Mixtral 8x7B. Maximum output per response: Qwen3 Max up to 65,536, Mixtral 8x7B up to 32,000, Claude Haiku 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Max accepts text; Mixtral 8x7B accepts text; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B publishes its weights and can be self-hosted; Qwen3 Max and Claude Haiku 4.5 is proprietary.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Max came out Sep 23, 2025; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Qwen3 Max Apr 2025, Mixtral 8x7B Jan 2024, Claude Haiku 4.5 Feb 28, 2025.

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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