Claude 3.5 Haiku vs Llama 3.3 70B
Claude 3.5 Haiku (2024) and Llama 3.3 70B (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude 3.5 Haiku ships a 200k-token context window, while Llama 3.3 70B ships a 8K-token context window. On pricing, Claude 3.5 Haiku costs $0.80/1M input tokens versus $0.90/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Claude 3.5 Haiku fits 25x more tokens; pick it for long-context work and Llama 3.3 70B for tighter calls.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Haiku | Llama 3.3 70B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and provider-routed production | multimodal apps and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Agents, Vision, and Classification |
| Context window | 200k | 8K |
| Cheapest output | $4/1M tokens | $0.90/1M tokens |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude 3.5 Haiku has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude 3.5 Haiku has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.5 Haiku uniquely exposes Reasoning, Structured outputs, and Code execution in local model data.
- Local decision data tags Claude 3.5 Haiku for Coding, RAG, and Agents.
- Llama 3.3 70B has the lower cheapest tracked output price at $0.90/1M tokens.
- Llama 3.3 70B uniquely exposes Multimodal, Function calling, and Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude 3.5 Haiku
$1,640
Cheapest tracked route/tier: Anthropic
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $695. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Claude 3.5 Haiku and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B is $3.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Structured outputs, and Code execution before moving production traffic.
- Llama 3.3 70B adds Multimodal, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.3 70B and Claude 3.5 Haiku; plan for SDK, billing, or endpoint changes.
- Claude 3.5 Haiku is $3.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Multimodal, Function calling, and Tool use before moving production traffic.
- Claude 3.5 Haiku adds Reasoning, Structured outputs, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-22 | 2025-12-09 |
| Context window | 200k | 8K |
| Parameters | — | 70B |
| Architecture | decoder only | decoder only |
| License | Unknown | True |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Claude 3.5 Haiku | Llama 3.3 70B |
|---|---|---|
| Input price | $0.80/1M tokens | $0.90/1M tokens |
| Output price | $4/1M tokens | $0.90/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Haiku | Llama 3.3 70B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Llama 3.3 70B, reasoning mode: Claude 3.5 Haiku, function calling: Llama 3.3 70B, tool use: Llama 3.3 70B, structured outputs: Claude 3.5 Haiku, and code execution: Claude 3.5 Haiku. Both models share vision, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude 3.5 Haiku lists $0.80/1M input and $4/1M output tokens on the cheapest tracked provider, while Llama 3.3 70B lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B lower by about $0.86 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.
Choose Claude 3.5 Haiku when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3.3 70B when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude 3.5 Haiku or Llama 3.3 70B?
Claude 3.5 Haiku supports 200k tokens, while Llama 3.3 70B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude 3.5 Haiku or Llama 3.3 70B?
Claude 3.5 Haiku is cheaper on tracked token pricing. Claude 3.5 Haiku costs $0.80/1M input and $4/1M output tokens. Llama 3.3 70B costs $0.90/1M input and $0.90/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Haiku or Llama 3.3 70B open source?
Claude 3.5 Haiku is listed under Unknown. Llama 3.3 70B is listed under True. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude 3.5 Haiku or Llama 3.3 70B?
Both Claude 3.5 Haiku and Llama 3.3 70B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Claude 3.5 Haiku or Llama 3.3 70B?
Llama 3.3 70B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude 3.5 Haiku and Llama 3.3 70B?
Claude 3.5 Haiku is available on Anthropic, OpenRouter, AWS Bedrock, GCP Vertex AI, and Replicate API. Llama 3.3 70B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.