Claude 3.5 Haiku vs Llama 4 Maverick 17B Instruct FP8
Claude 3.5 Haiku (2024) and Llama 4 Maverick 17B Instruct FP8 (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude 3.5 Haiku ships a 200k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 is ~433% cheaper at $0.15/1M; pay for Claude 3.5 Haiku only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Haiku | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| 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 | 1m |
| Cheapest output | $4/1M tokens | $0.60/1M tokens |
| Provider routes | 6 tracked | 10 tracked |
| Shared benchmarks | 0 rows | 0 rows |
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 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Multimodal in local model data.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,370. 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 Maverick 17B Instruct FP8 is $3.40/1M 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 Maverick 17B Instruct FP8 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 $3.40/1M 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 | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2024-08 |
Pricing and availability
| Pricing attribute | Claude 3.5 Haiku | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $0.80/1M tokens | $0.15/1M tokens |
| Output price | $4/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Haiku | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Llama 4 Maverick 17B Instruct FP8, 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 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $1.47 per million blended tokens. Availability is 6 providers versus 10, so concentration risk also matters.
Choose Claude 3.5 Haiku when coding workflow support are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 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.
FAQ
Which has a larger context window, Claude 3.5 Haiku or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1m 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 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Claude 3.5 Haiku costs $0.80/1M input and $4/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Haiku or Llama 4 Maverick 17B Instruct FP8 open source?
Claude 3.5 Haiku is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8?
Both Claude 3.5 Haiku and Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8?
Claude 3.5 Haiku is available on Anthropic, OpenRouter, AWS Bedrock, GCP Vertex AI, and Replicate API. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-07. Data sourced from public model cards and provider documentation.