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Comparison · 2 models · Updated Oct 4, 2026

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

Claude Haiku 3.5 comes out ahead, 49 to 41 on our weighted score.

  1. 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
  2. Our pick

    Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 3.5 is our pick

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

  • CapabilityLlama-3.3-70B-InstructCapabilities Index (ECI): 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 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsClaude Haiku 3.5Llama-3.3-70B-Instruct: Text · Claude Haiku 3.5: Text, Images, PDFs
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.3-70B-InstructClaude Haiku 3.5
CapabilityCapabilities Index (ECI)67%4949
Inputs & features20%2560
Context window13%2432
Overall100%41/10049/100

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.

Llama-3.3-70B-Instruct vs Claude Haiku 3.5 specifications side by side
SpecificationLlama-3.3-70B-InstructMetaClaude Haiku 3.5Anthropic
Capability
Capabilities Index (ECI)127.3 (best)127.2
ECI rank#133 of 148 (best)#134 of 148
GPQA DiamondGraduate-level science questions47.4% (best)38.1%
OTIS Mock AIME 2024–2025Competition mathematics5.1% (best)4.3%
Price per million tokens
Input$0.59—
Output$0.724—
Cached input——
Blended (3:1)$0.624—
Long-context rateSame rate—
Price sourceMedian of 21 providers—
Limits
Context window128,000 tokens200,000 tokens (best)
Max output4,096 tokens8,192 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDllama-3.3-70b-instruct—
API providers24—
ReleasedDec 6, 2024Oct 22, 2024
Knowledge cutoffDec 2023Jul 31, 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.

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

Which should you choose?

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

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

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

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). . 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 . Claude Haiku 3.5 has no published per-token price.

Which scores higher on benchmarks?

Llama-3.3-70B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). The confidence ranges of the top two overlap (122.5–129.5 vs 120.7–129.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — 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 Llama-3.3-70B-Instruct and Claude Haiku 3.5 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Claude Haiku 3.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama-3.3-70B-Instruct accepts text; Claude Haiku 3.5 accepts text, images and PDFs. 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 is proprietary.

Which is newer?

Llama-3.3-70B-Instruct is the newest, released Dec 6, 2024. Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Claude Haiku 3.5 Jul 31, 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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