LLM Reference

Llama 3 70B Instruct vs Qwen3.5-397B-A17B

Llama 3 70B Instruct (2024) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from AI at Meta and Alibaba. Llama 3 70B Instruct ships a 8k-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On MMLU PRO, Qwen3.5-397B-A17B leads by 30.4 pts. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $0.40/1M 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.

Pick Qwen3.5-397B-A17B for general evaluation; Llama 3 70B Instruct is better when provider fit matters more.

Decision scorecard

Local evidence first
SignalLlama 3 70B InstructQwen3.5-397B-A17B
Best forprovider-routed productionreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, Classification, and JSON / Tool useCoding, RAG, and Agents
Context window8k262k
Cheapest output$0.40/1M tokens$2.34/1M tokens
Provider routes18 tracked4 tracked
Shared benchmarks2 sharedMMLU PRO leader

Decision tradeoffs

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.
Choose Qwen3.5-397B-A17B when...
  • Qwen3.5-397B-A17B holds a shared-benchmark lead on MMLU PRO, ahead by 30.4 points.
  • Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-397B-A17B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Qwen3.5-397B-A17B 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 70B Instruct

Llama 3 70B Instruct

$420

Cheapest tracked route/tier: Hyperbolic AI Inference

Qwen3.5-397B-A17B

$897

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $477. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Llama 3 70B Instruct -> Qwen3.5-397B-A17B
  • Provider overlap exists on OpenRouter, Together AI, and Novita AI; start route-level A/B tests there.
  • Qwen3.5-397B-A17B is $1.94/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Qwen3.5-397B-A17B adds Vision, Multimodal, and Reasoning in local capability data.
Qwen3.5-397B-A17B -> Llama 3 70B Instruct
  • Provider overlap exists on Together AI, OpenRouter, and Novita AI; start route-level A/B tests there.
  • Llama 3 70B Instruct is $1.94/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Specs

Specification
Released2024-04-182026-02-16
Context window8k262k
Parameters70B397B
ArchitectureDecoder OnlyMixture of Experts
LicenseLlama 3 CommunityApache 2.0OSI-approved
OpennessOpen weightsOpen source
WeightsAvailableAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2023-12-

Pricing and availability

Pricing attributeLlama 3 70B InstructQwen3.5-397B-A17B
Input price$0.40/1M tokens$0.39/1M tokens
Output price$0.40/1M tokens$2.34/1M tokens
Providers

Capabilities

CapabilityLlama 3 70B InstructQwen3.5-397B-A17B
VisionNoYes
MultimodalNoYes
ReasoningNoYes
JSON / Tool useNoYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkLlama 3 70B InstructQwen3.5-397B-A17B
MMLU PRO57.487.8
Instruction-Following Evaluation77.892.6

Continue comparing

Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.