ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 3.5 vs Claude Haiku 4.5 vs Llama-3.3-70B-Instruct

Claude Haiku 4.5 comes out ahead, 66 to 49 and 41 on our weighted score, though Llama-3.3-70B-Instruct is 3.2× cheaper per token.

  1. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    49/100
    • ECI127.2
    • Price—
    • Context200K
  2. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    66/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
  3. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    41/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
01 — Verdict

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · 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 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextClaude Haiku 3.5 and Claude Haiku 4.5Claude Haiku 3.5 200,000 · Claude Haiku 4.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsClaude Haiku 3.5 and Claude Haiku 4.5Claude Haiku 3.5: Text, Images, PDFs · Claude Haiku 4.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3.5Claude Haiku 4.5Llama-3.3-70B-Instruct
CapabilityCapabilities Index (ECI)67%496949
Inputs & features20%608025
Context window13%323224
Overall100%49/10066/10041/100

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 Claude Haiku 4.5 vs Llama-3.3-70B-Instruct specifications side by side
SpecificationClaude Haiku 3.5AnthropicClaude Haiku 4.5AnthropicLlama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)127.2142.4 (best)127.3
ECI rank#134 of 148#90 of 148 (best)#133 of 148
GPQA DiamondGraduate-level science questions38.1%71.2% (best)47.4%
OTIS Mock AIME 2024–2025Competition mathematics4.3%66.7% (best)5.1%
SimpleQA VerifiedShort factual questions—13.2%—
Price per million tokens
Input—$1.00$0.59 (best)
Output—$5.00$0.724 (best)
Cached input—$0.10—
Blended (3:1)—$2.00$0.624 (best)
Long-context rate—Same rateSame rate
Price source—Official Anthropic APIMedian of 21 providers
Limits
Context window200,000 tokens (best)200,000 tokens (best)128,000 tokens
Max output8,192 tokens64,000 tokens (best)4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsProprietaryProprietaryOpen
API model ID—claude-haiku-4-5llama-3.3-70b-instruct
API providers—34 (best)24
ReleasedOct 22, 2024Oct 15, 2025Dec 6, 2024
Knowledge cutoffJul 31, 2024Feb 28, 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—
  • Claude Haiku 4.5$20.00
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3.5, Claude Haiku 4.5 or Llama-3.3-70B-Instruct?

Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Claude Haiku 3.5, Claude Haiku 4.5 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). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic 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 $2.00 for Claude Haiku 4.5 (3.2× as much). Claude Haiku 3.5 has no published per-token price.

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), 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 (139.5–144.3 vs 122.5–129.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 4.5 71.2%, Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, 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, Claude Haiku 4.5 and Llama-3.3-70B-Instruct 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?

Claude Haiku 3.5 and Claude Haiku 4.5 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 3.5 up to 8,192, Claude Haiku 4.5 up to 64,000, 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; Claude Haiku 4.5 accepts text, images and PDFs; 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 Claude Haiku 4.5 is proprietary.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 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, Claude Haiku 4.5 Feb 28, 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.