ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3.5 vs Qwen Turbo vs Llama-3.3-70B-Instruct

Too close to call on our weighted score (Qwen Turbo 31, Claude Haiku 3.5 30, Llama-3.3-70B-Instruct 26). The right pick depends on what you value most.

  1. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    30/100
    • ECI127.2
    • Price—
    • Context200K
    Full specs Remove Claude Haiku 3.5

  2. Alibaba (Qwen)

    Qwen Turbo

    Released Nov 1, 2024

    31/100
    • ECI—
    • Price$0.05 / $0.20
    • Context1M
    Full specs Remove Qwen Turbo

  3. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    26/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen Turbo 31/100, Claude Haiku 3.5 30/100, Llama-3.3-70B-Instruct 26/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability, Qwen Turbo on price and Qwen Turbo for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Qwen Turbo has no Capabilities Index score yet.

  • CapabilityLlama-3.3-70B-InstructShared benchmarks: Llama-3.3-70B-Instruct 26.3% · Qwen Turbo 24.0% · Claude Haiku 3.5 21.2%
  • Lowest priceQwen TurboQwen Turbo $0.087 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextQwen TurboQwen Turbo 1,000,000 · 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 · Qwen Turbo: Text · Llama-3.3-70B-Instruct: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3.5Qwen TurboLlama-3.3-70B-Instruct
CapabilityShared benchmarks67%212426
Inputs & features20%603525
Context window13%326024
Overall100%30/10031/10026/100

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 Qwen Turbo vs Llama-3.3-70B-Instruct specifications side by side
SpecificationClaude Haiku 3.5AnthropicQwen TurboAlibaba (Qwen)Llama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)127.2—127.3 (best)
ECI rank#134 of 148—#133 of 148 (best)
GPQA DiamondGraduate-level science questions38.1%41.8%47.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics4.3%6.1% (best)5.1%
Price per million tokens
Input—$0.05 (best)$0.59
Output—$0.20 (best)$0.724
Cached input———
Blended (3:1)—$0.087 (best)$0.624
Long-context rate—Same rateSame rate
Price source—Official Alibaba APIMedian of 21 providers
Limits
Context window200,000 tokens1,000,000 tokens (best)128,000 tokens
Max output8,192 tokens16,384 tokens (best)4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryOpen
API model ID—qwen-turbollama-3.3-70b-instruct
API providers—324 (best)
ReleasedOct 22, 2024Nov 1, 2024Dec 6, 2024
Knowledge cutoffJul 31, 2024Apr 2024Dec 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—
  • Qwen Turbo$0.90
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within a point (Qwen Turbo 31/100, Claude Haiku 3.5 30/100, Llama-3.3-70B-Instruct 26/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability, Qwen Turbo on price and Qwen Turbo for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Qwen Turbo has no Capabilities Index score yet.

Which is cheaper, Claude Haiku 3.5, Qwen Turbo or Llama-3.3-70B-Instruct?

Qwen Turbo is cheaper at $0.05 input / $0.20 output per million tokens (official Alibaba API price). Llama-3.3-70B-Instruct costs $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). At a typical mix of three input tokens to one output token, that is $0.087 per million tokens for Qwen Turbo versus $0.624 for Llama-3.3-70B-Instruct (7.1× as much). Claude Haiku 3.5 has no published per-token price.

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): Llama-3.3-70B-Instruct 26.3%, Qwen Turbo 24.0% and Claude Haiku 3.5 21.2%. On individual benchmarks: GPQA Diamond — Llama-3.3-70B-Instruct 47.4%, Qwen Turbo 41.8%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Qwen Turbo 6.1%, 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, Qwen Turbo and Llama-3.3-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Llama-3.3-70B-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?

Qwen Turbo has the largest context window at 1,000,000 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, Qwen Turbo up to 16,384, 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; Qwen Turbo 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 Qwen Turbo is proprietary.

Which is newer?

Llama-3.3-70B-Instruct is the newest, released Dec 6, 2024. Qwen Turbo came out Nov 1, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Qwen Turbo Apr 2024, 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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