Claude 3.5 Haiku vs Llama 4 Scout 17B-16E Instruct
Claude 3.5 Haiku (2024) and Llama 4 Scout 17B-16E Instruct (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude 3.5 Haiku ships a 200k-token context window, while Llama 4 Scout 17B-16E Instruct ships a 10m-token context window. On pricing, Llama 4 Scout 17B-16E Instruct costs $0.08/1M 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 4 Scout 17B-16E Instruct is ~900% cheaper at $0.08/1M; pay for Claude 3.5 Haiku only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Haiku | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and provider-routed production | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 10m |
| Cheapest output | $4/1M tokens | $0.30/1M tokens |
| Provider routes | 6 tracked | 12 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Claude 3.5 Haiku uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags Claude 3.5 Haiku for Coding, RAG, and Agents.
- Llama 4 Scout 17B-16E Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B-16E Instruct has the lower cheapest tracked output price at $0.30/1M tokens.
- Llama 4 Scout 17B-16E Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Scout 17B-16E Instruct uniquely exposes Multimodal in local model data.
- Local decision data tags Llama 4 Scout 17B-16E Instruct for Coding, RAG, and Agents.
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 4 Scout 17B-16E Instruct
$139
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,501. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, GCP Vertex AI, and AWS Bedrock; start route-level A/B tests there.
- Llama 4 Scout 17B-16E Instruct is $3.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Llama 4 Scout 17B-16E Instruct adds Multimodal in local capability data.
- Provider overlap exists on OpenRouter, AWS Bedrock, and GCP Vertex AI; start route-level A/B tests there.
- Claude 3.5 Haiku is $3.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Multimodal before moving production traffic.
- Claude 3.5 Haiku adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-22 | 2025-04-05 |
| Context window | 200k | 10m |
| Parameters | — | 109B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2024-08 |
Pricing and availability
| Pricing attribute | Claude 3.5 Haiku | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Input price | $0.80/1M tokens | $0.08/1M tokens |
| Output price | $4/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Haiku | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | 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.
Deep dive
The capability footprint differs most on multimodal input: Llama 4 Scout 17B-16E Instruct, reasoning mode: Claude 3.5 Haiku, and code execution: Claude 3.5 Haiku. Both models share vision and structured outputs, 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 4 Scout 17B-16E Instruct lists $0.08/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Scout 17B-16E Instruct lower by about $1.61 per million blended tokens. Availability is 6 providers versus 12, so concentration risk also matters.
Choose Claude 3.5 Haiku when coding workflow support are central to the workload. Choose Llama 4 Scout 17B-16E Instruct when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Claude 3.5 Haiku or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct supports 10m tokens, while Claude 3.5 Haiku supports 200k 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 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct is cheaper on tracked token pricing. Claude 3.5 Haiku costs $0.80/1M input and $4/1M output tokens. Llama 4 Scout 17B-16E Instruct costs $0.08/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Haiku or Llama 4 Scout 17B-16E Instruct open source?
Claude 3.5 Haiku is listed under Proprietary. Llama 4 Scout 17B-16E Instruct is listed under Llama 4 Community. 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 4 Scout 17B-16E Instruct?
Both Claude 3.5 Haiku and Llama 4 Scout 17B-16E Instruct 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 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct 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 4 Scout 17B-16E Instruct?
Claude 3.5 Haiku is available on Anthropic, OpenRouter, AWS Bedrock, GCP Vertex AI, and Replicate API. Llama 4 Scout 17B-16E Instruct is available on Cloudflare Workers AI, OpenRouter, Together AI, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.