Claude Haiku 4.5 vs Llama 3 70B Instruct

Name: Claude Haiku 4.5
Author: Anthropic

Claude Haiku 4.5 (2025) and Llama 3 70B Instruct (2024) are compact production models from Anthropic and AI at Meta. Claude Haiku 4.5 ships a 200k-token context window, while Llama 3 70B Instruct ships a 8k-token context window. On pricing, Llama 3 70B Instruct costs $0.40/1M input tokens versus $0.80/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Llama 3 70B Instruct is ~100% cheaper at $0.40/1M; pay for Claude Haiku 4.5 only for coding workflow support.

Decision scorecard

Local evidence first

Signal	Claude Haiku 4.5	Llama 3 70B Instruct	How to read it
Best for	multimodal apps, tool-calling agents, and provider-routed production	provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, Classification, and JSON / Tool use	Primary workload tags from local decision data.
Context window	200k	8k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$4/1M tokens	$0.40/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	9 tracked	18 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 shared	0 shared	No shared benchmark scores are available for this pair yet.

Decision tradeoffs

Choose Claude Haiku 4.5 when...

Claude Haiku 4.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
Claude Haiku 4.5 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.

Choose Llama 3 70B Instruct when...

Llama 3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
Llama 3 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Llama 3 70B Instruct

Requests / monthInput tokens / requestOutput tokens / request

Claude Haiku 4.5

$1,640

Cheapest tracked route/tier: AWS Bedrock

Llama 3 70B Instruct

$420

Cheapest tracked route/tier: Hyperbolic AI Inference

Estimated monthly gap: $1,220. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Haiku 4.5 -> Llama 3 70B Instruct

Provider overlap exists on GCP Vertex AI, AWS Bedrock, and Microsoft Foundry; start route-level A/B tests there.
Llama 3 70B Instruct is $3.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.

Llama 3 70B Instruct -> Claude Haiku 4.5

Provider overlap exists on Microsoft Foundry, AWS Bedrock, and GCP Vertex AI; start route-level A/B tests there.
Claude Haiku 4.5 is $3.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Claude Haiku 4.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.

Specs

Specification	Claude Haiku 4.5 Anthropic	Llama 3 70B Instruct AI at Meta
Released	2025-10-01	2024-04-18
Context window	200k	8k
Parameters	—	70B
Architecture	Decoder Only	Decoder Only
License	Proprietary	Llama 3 Community
Openness	Proprietary	Open weights
Weights	Not released	Available
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: conditional
Knowledge cutoff	2025-02	2023-12

Pricing and availability

Pricing attribute	Claude Haiku 4.5	Llama 3 70B Instruct
Input price	$0.80/1M tokens	$0.40/1M tokens
Output price	$4/1M tokens	$0.40/1M tokens
Providers	Microsoft Foundry Anthropic Snowflake Cortex AWS Bedrock GCP Vertex AI OpenRouter	GCP Vertex AI AWS Bedrock Microsoft Foundry NVIDIA NIM DeepInfra OctoAI API (Deprecated)

Capabilities

Capability	Claude Haiku 4.5	Llama 3 70B Instruct
Vision	Yes	No
Multimodal	Yes	No
Reasoning	No	No
JSON / Tool use	Yes	No
Structured outputs	Yes	Yes
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

No shared benchmark scores are currently available for this pair.

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Model pages

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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.

Both models

Claude Haiku 4.5 Llama 3 70B Instruct