Llama 3.3 70B Instruct vs Llama 4 Maverick 17B Instruct FP8

Name: Llama 3.3 70B Instruct
Author: AI at Meta

Llama 3.3 70B Instruct (2024) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from AI at Meta. Llama 3.3 70B Instruct ships a 128K-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window. On MMLU PRO, Llama 4 Maverick 17B Instruct FP8 leads by 11.6 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Pick Llama 4 Maverick 17B Instruct FP8 for general evaluation; Llama 3.3 70B Instruct is better when provider fit matters more.

Decision scorecard

Local evidence first

Signal	Llama 3.3 70B Instruct	Llama 4 Maverick 17B Instruct FP8	How to read it
Best for	provider-routed production	multimodal apps, long-context analysis, and provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	RAG, Long context, and Classification	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	128K	1M	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$0.40/1M tokens	$0.60/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	13 tracked	11 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	1 shared	MMLU PRO leader	Visible benchmark lead is 11.6 points on MMLU PRO.

Decision tradeoffs

Choose Llama 3.3 70B Instruct when...

Llama 3.3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
Llama 3.3 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
Local decision data tags Llama 3.3 70B Instruct for RAG, Long context, and Classification.

Choose Llama 4 Maverick 17B Instruct FP8 when...

Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on MMLU PRO, ahead by 11.6 points.
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 uniquely exposes Vision and 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.

Lower estimate Llama 3.3 70B Instruct

Requests / monthInput tokens / requestOutput tokens / request

Llama 3.3 70B Instruct

$208

Cheapest tracked route/tier: Novita AI

Llama 4 Maverick 17B Instruct FP8

$270

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $62.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Llama 3.3 70B Instruct -> Llama 4 Maverick 17B Instruct FP8

Provider overlap exists on Microsoft Foundry, Together AI, and OpenRouter; start route-level A/B tests there.
Llama 4 Maverick 17B Instruct FP8 is $0.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Llama 4 Maverick 17B Instruct FP8 adds Vision and Multimodal in local capability data.

Llama 4 Maverick 17B Instruct FP8 -> Llama 3.3 70B Instruct

Provider overlap exists on Fireworks AI, NVIDIA NIM, and Together AI; start route-level A/B tests there.
Llama 3.3 70B Instruct is $0.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision and Multimodal before moving production traffic.

Specs

Specification	Llama 3.3 70B Instruct AI at Meta	Llama 4 Maverick 17B Instruct FP8 AI at Meta
Released	2024-12-06	2025-04-05
Context window	128K	1M
Parameters	70B	400B (17B active)
Architecture	Decoder Only	Mixture of Experts
License	Llama 3.3 Community	Llama 4 Community
Openness	Open weights	Open weights
Weights	Available	Unknown
Code	Unknown	Unknown
Commercial use	Restricted	Restricted
Knowledge cutoff	2023-12	2024-08

Pricing and availability

Pricing attribute	Llama 3.3 70B Instruct	Llama 4 Maverick 17B Instruct FP8
Input price	$0.14/1M tokens	$0.15/1M tokens
Output price	$0.40/1M tokens	$0.60/1M tokens
Providers	Cloudflare Workers AI Fireworks AI NVIDIA NIM GroqCloud Together AI AWS Bedrock	Microsoft Foundry Together AI OpenRouter Fireworks AI DeepInfra GCP Vertex AI

Capabilities

Capability	Llama 3.3 70B Instruct	Llama 4 Maverick 17B Instruct FP8
Vision	No	Yes
Multimodal	No	Yes
Reasoning	No	No
JSON / Tool use	No	No
Structured outputs	Yes	Yes
Code execution	No	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	Llama 3.3 70B Instruct	Llama 4 Maverick 17B Instruct FP8
MMLU PRO	68.9	80.5

Deep dive

On shared benchmark coverage, MMLU PRO has Llama 3.3 70B Instruct at 68.9 and Llama 4 Maverick 17B Instruct FP8 at 80.5, with Llama 4 Maverick 17B Instruct FP8 ahead by 11.6 points. The largest visible gap is 11.6 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Llama 4 Maverick 17B Instruct FP8 and multimodal input: Llama 4 Maverick 17B Instruct FP8. Both models share 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, Llama 3.3 70B Instruct lists $0.14/1M input and $0.40/1M 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 3.3 70B Instruct lower by about $0.07 per million blended tokens. Availability is 13 providers versus 11, so concentration risk also matters.

Choose Llama 3.3 70B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis and larger context windows 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, Llama 3.3 70B Instruct or Llama 4 Maverick 17B Instruct FP8?

Llama 4 Maverick 17B Instruct FP8 supports 1M tokens, while Llama 3.3 70B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Llama 3.3 70B Instruct or Llama 4 Maverick 17B Instruct FP8?

Llama 3.3 70B Instruct is cheaper on tracked token pricing. Llama 3.3 70B Instruct costs $0.14/1M input and $0.40/1M 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 Llama 3.3 70B Instruct or Llama 4 Maverick 17B Instruct FP8 open source?

Llama 3.3 70B Instruct is listed under Llama 3.3 Community. 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, Llama 3.3 70B Instruct or Llama 4 Maverick 17B Instruct FP8?

Llama 4 Maverick 17B Instruct FP8 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Llama 3.3 70B Instruct 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 Llama 3.3 70B Instruct and Llama 4 Maverick 17B Instruct FP8?

Llama 3.3 70B Instruct is available on Cloudflare Workers AI, Fireworks AI, NVIDIA NIM, GroqCloud, and Together AI. 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: 2026-10-17. Data sourced from public model cards and provider documentation.

Both models

Llama 3.3 70B Instruct Llama 4 Maverick 17B Instruct FP8