Llama 3.2 90B Vision vs Qwen3.5-397B-A17B

Llama 3.2 90B Vision (2024) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from AI at Meta and Alibaba. Llama 3.2 90B Vision ships a 128k-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On Massive Multi-discipline Multimodal Understanding, Qwen3.5-397B-A17B leads by 24.7 pts. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $1.35/1M 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.

Qwen3.5-397B-A17B is ~246% cheaper at $0.39/1M; pay for Llama 3.2 90B Vision only for vision-heavy evaluation.

Decision scorecard

Local evidence first
SignalLlama 3.2 90B VisionQwen3.5-397B-A17B
Best formultimodal appsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitRAG, Long context, and VisionCoding, RAG, and Agents
Context window128k262k
Cheapest output$1.80/1M tokens$2.34/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks1 sharedMassive Multi-discipline Multimodal Understanding leader

Decision tradeoffs

Choose Llama 3.2 90B Vision when...
  • Llama 3.2 90B Vision has the lower cheapest tracked output price at $1.80/1M tokens.
  • Local decision data tags Llama 3.2 90B Vision for RAG, Long context, and Vision.
Choose Qwen3.5-397B-A17B when...
  • Qwen3.5-397B-A17B holds a shared-benchmark lead on Massive Multi-discipline Multimodal Understanding, ahead by 24.7 points.
  • Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and route flexibility.
  • Qwen3.5-397B-A17B uniquely exposes Multimodal, Reasoning, and JSON / Tool use 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 Qwen3.5-397B-A17B

Llama 3.2 90B Vision

$1,530

Cheapest tracked route/tier: AWS Bedrock

Qwen3.5-397B-A17B

$897

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $633. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Llama 3.2 90B Vision -> Qwen3.5-397B-A17B
  • No overlapping tracked provider route is sourced for Llama 3.2 90B Vision and Qwen3.5-397B-A17B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-397B-A17B is $0.54/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Qwen3.5-397B-A17B adds Multimodal, Reasoning, and JSON / Tool use in local capability data.
Qwen3.5-397B-A17B -> Llama 3.2 90B Vision
  • No overlapping tracked provider route is sourced for Qwen3.5-397B-A17B and Llama 3.2 90B Vision; plan for SDK, billing, or endpoint changes.
  • Llama 3.2 90B Vision is $0.54/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Multimodal, Reasoning, and JSON / Tool use before moving production traffic.

Specs

Specification
Released2024-09-252026-02-16
Context window128k262k
Parameters88.8B397B
ArchitectureDecoder OnlyMixture of Experts
LicenseLlama 3 CommunityApache 2.0OSI-approved
OpennessOpen weightsOpen source
WeightsUnknownAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2024-03-

Pricing and availability

Pricing attributeLlama 3.2 90B VisionQwen3.5-397B-A17B
Input price$1.35/1M tokens$0.39/1M tokens
Output price$1.80/1M tokens$2.34/1M tokens
Providers

Capabilities

CapabilityLlama 3.2 90B VisionQwen3.5-397B-A17B
VisionYesYes
MultimodalNoYes
ReasoningNoYes
JSON / Tool useNoYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkLlama 3.2 90B VisionQwen3.5-397B-A17B
Massive Multi-discipline Multimodal Understanding60.385.0

Continue comparing

Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.