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Comparison · 2 models · Updated Oct 4, 2026

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

Claude Haiku 4.5 comes out ahead, 58 to 46 on our weighted score, though Llama-3.3-70B-Instruct is 3.2× cheaper per token.

  1. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5

  2. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    46/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Llama-3.3-70B-Instruct (46). It leads on capability, inputs & features and context window. Llama-3.3-70B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Llama-3.3-70B-Instruct 127.3
  • Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsClaude Haiku 4.5Claude 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 4.5Llama-3.3-70B-Instruct
CapabilityCapabilities Index (ECI)50%6949
Price25%3660
Inputs & features15%8025
Context window10%3224
Overall100%58/10046/100
02 — Side by side

Every spec in one table

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

Claude Haiku 4.5 vs Llama-3.3-70B-Instruct specifications side by side
SpecificationClaude Haiku 4.5AnthropicLlama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)142.4 (best)127.3
ECI rank#90 of 148 (best)#133 of 148
GPQA DiamondGraduate-level science questions71.2% (best)47.4%
OTIS Mock AIME 2024–2025Competition mathematics66.7% (best)5.1%
SimpleQA VerifiedShort factual questions13.2%—
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 rateSame rateSame rate
Price sourceOfficial Anthropic APIMedian of 21 providers
Limits
Context window200,000 tokens (best)128,000 tokens
Max output64,000 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDclaude-haiku-4-5llama-3.3-70b-instruct
API providers34 (best)24
ReleasedOct 15, 2025Dec 6, 2024
Knowledge cutoffFeb 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 4.5$20.00
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

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

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Llama-3.3-70B-Instruct (46). It leads on capability, inputs & features and context window. Llama-3.3-70B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, 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).

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) and Llama-3.3-70B-Instruct 127.3 (#133 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%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, Llama-3.3-70B-Instruct 5.1%.

Which is better for coding?

There are no published SWE-bench Verified results for 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 4.5 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: 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 4.5 accepts text, images and PDFs; Llama-3.3-70B-Instruct accepts text. Claude Haiku 4.5 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 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. Knowledge cutoff: 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.

05 — Keep comparing

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