ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3.5 vs Qwen3 Max vs Llama-3.3-70B-Instruct

Qwen3 Max comes out ahead, 55 to 49 and 41 on our weighted score, though Llama-3.3-70B-Instruct is 3.8× cheaper per token.

  1. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    49/100
    • ECI127.2
    • Price—
    • Context200K
    Full specs Remove Claude Haiku 3.5
  2. Our pick

    Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    55/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max

  3. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    41/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct
01 — Verdict

Qwen3 Max is our pick

Qwen3 Max is the better all-round choice, scoring 55/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and context window. Claude Haiku 3.5 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · Llama-3.3-70B-Instruct 127.3 · Claude Haiku 3.5 127.2
  • Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Qwen3 Max $2.40 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 3.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Qwen3 Max: Text · Llama-3.3-70B-Instruct: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3.5Qwen3 MaxLlama-3.3-70B-Instruct
CapabilityCapabilities Index (ECI)67%496849
Inputs & features20%602525
Context window13%323724
Overall100%49/10055/10041/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Claude Haiku 3.5 vs Qwen3 Max vs Llama-3.3-70B-Instruct specifications side by side
SpecificationClaude Haiku 3.5AnthropicQwen3 MaxAlibaba (Qwen)Llama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)127.2142.4 (best)127.3
ECI rank#134 of 148#91 of 148 (best)#133 of 148
GPQA DiamondGraduate-level science questions38.1%72.6% (best)47.4%
FrontierMath Tiers 1–3Research-level mathematics—19.0%—
OTIS Mock AIME 2024–2025Competition mathematics4.3%73.3% (best)5.1%
SimpleQA VerifiedShort factual questions—48.8%—
Price per million tokens
Input—$1.20$0.59 (best)
Output—$6.00$0.724 (best)
Cached input———
Blended (3:1)—$2.40$0.624 (best)
Long-context rate—Same rateSame rate
Price source—Official Alibaba APIMedian of 21 providers
Limits
Context window200,000 tokens262,144 tokens (best)128,000 tokens
Max output8,192 tokens65,536 tokens (best)4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryOpen
API model ID—qwen3-maxllama-3.3-70b-instruct
API providers—1624 (best)
ReleasedOct 22, 2024Sep 23, 2025Dec 6, 2024
Knowledge cutoffJul 31, 2024Apr 2025Dec 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.

  • Claude Haiku 3.5—
  • Qwen3 Max$24.00
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3.5, Qwen3 Max or Llama-3.3-70B-Instruct?

Qwen3 Max is the better all-round choice, scoring 55/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and context window. Claude Haiku 3.5 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Claude Haiku 3.5, Qwen3 Max or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper at $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). 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 $0.624 per million tokens for Llama-3.3-70B-Instruct versus $2.40 for Qwen3 Max (3.8× as much). Claude Haiku 3.5 has no published per-token price.

Which scores higher on benchmarks?

Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148), Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). Their confidence ranges do not overlap (140.0–144.6 vs 122.5–129.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, Llama-3.3-70B-Instruct 5.1%, Claude Haiku 3.5 4.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 3.5, Qwen3 Max and Llama-3.3-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max 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 3.5 and 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Claude Haiku 3.5 up to 8,192, Qwen3 Max up to 65,536, Llama-3.3-70B-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 3.5 accepts text, images and PDFs; Qwen3 Max accepts text; Llama-3.3-70B-Instruct accepts text. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Claude Haiku 3.5 and Qwen3 Max is proprietary.

Which is newer?

Qwen3 Max is the newest, released Sep 23, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Qwen3 Max Apr 2025, Llama-3.3-70B-Instruct Dec 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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