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Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3 vs Claude Haiku 3.5 vs Llama-3.3-70B-Instruct

Claude Haiku 3.5 comes out ahead, 49 to 42 and 41 on our weighted score.

  1. Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    42/100
    • ECI118.4
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3
  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. 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

Claude Haiku 3.5 is our pick

Claude Haiku 3.5 is the better all-round choice, scoring 49/100 against Claude Haiku 3 (42) and Llama-3.3-70B-Instruct (41). 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 · Claude Haiku 3 118.4
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextClaude Haiku 3 and Claude Haiku 3.5Claude Haiku 3 200,000 · Claude Haiku 3.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsClaude Haiku 3 and Claude Haiku 3.5Claude Haiku 3: Text, Images, PDFs · Claude Haiku 3.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3Claude Haiku 3.5Llama-3.3-70B-Instruct
CapabilityCapabilities Index (ECI)67%384949
Inputs & features20%606025
Context window13%323224
Overall100%42/10049/10041/100

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 vs Claude Haiku 3.5 vs Llama-3.3-70B-Instruct specifications side by side
SpecificationClaude Haiku 3AnthropicClaude Haiku 3.5AnthropicLlama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)118.4127.2127.3 (best)
ECI rank#143 of 148#134 of 148#133 of 148 (best)
GPQA DiamondGraduate-level science questions36.3%38.1%47.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics1.8%4.3%5.1% (best)
Price per million tokens
Input$0.25 (best)—$0.59
Output$1.25—$0.724 (best)
Cached input———
Blended (3:1)$0.50 (best)—$0.624
Long-context rateSame rate—Same rate
Price sourceMedian of 2 providers—Median of 21 providers
Limits
Context window200,000 tokens (best)200,000 tokens (best)128,000 tokens
Max output4,096 tokens8,192 tokens (best)4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryOpen
API model ID——llama-3.3-70b-instruct
API providers2—24 (best)
ReleasedMar 13, 2024Oct 22, 2024Dec 6, 2024
Knowledge cutoffAug 31, 2023Jul 31, 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$5.00
  • Claude Haiku 3.5—
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3, Claude Haiku 3.5 or Llama-3.3-70B-Instruct?

Claude Haiku 3.5 is the better all-round choice, scoring 49/100 against Claude Haiku 3 (42) and Llama-3.3-70B-Instruct (41). The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Claude Haiku 3, Claude Haiku 3.5 or Llama-3.3-70B-Instruct?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 2 API providers). 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 $0.50 per million tokens for Claude Haiku 3 versus $0.624 for Llama-3.3-70B-Instruct (1.2× as much). 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), Claude Haiku 3.5 127.2 (#134 of 148) and Claude Haiku 3 118.4 (#143 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%, Claude Haiku 3 36.3%; OTIS Mock AIME 2024–2025 — Llama-3.3-70B-Instruct 5.1%, Claude Haiku 3.5 4.3%, Claude Haiku 3 1.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 3, Claude Haiku 3.5 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?

Claude Haiku 3 and Claude Haiku 3.5 have the largest context windows (200,000 and 200,000 tokens), against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Claude Haiku 3 up to 4,096, Claude Haiku 3.5 up to 8,192, Llama-3.3-70B-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 3 accepts text, images and PDFs; Claude Haiku 3.5 accepts text, images and PDFs; Llama-3.3-70B-Instruct accepts text. Claude Haiku 3 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 and 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; Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Claude Haiku 3.5 Jul 31, 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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