LLM Reference

DeepSeek V3 vs Qwen3.6-35B-A3B

DeepSeek V3 (2024) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. DeepSeek V3 ships a 64k-token context window, while Qwen3.6-35B-A3B ships a 262k-token context window. On MMLU PRO, Qwen3.6-35B-A3B leads by 9.3 pts. On pricing, DeepSeek V3 costs $0.10/1M input tokens versus $0.15/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: DeepSeek V3 is standalone API model, while Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalDeepSeek V3Qwen3.6-35B-A3B
Product typeStandalone API modelCoding-specialized model
Best fortool-calling agents and provider-routed productioncustom coding agents, code generation, and tool loops
Decision fitCoding, Agents, and ClassificationCoding, RAG, and Agents
Context window64k262k
Cheapest output$0.30/1M tokens$1/1M tokens
Provider routes13 tracked2 tracked
Shared benchmarks2 sharedMMLU PRO leader

Decision tradeoffs

Choose DeepSeek V3 when...
  • DeepSeek V3 has the lower cheapest tracked output price at $0.30/1M tokens.
  • DeepSeek V3 has broader tracked provider coverage for fallback and route flexibility.
  • DeepSeek V3 uniquely exposes Structured outputs in local model data.
  • Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
Choose Qwen3.6-35B-A3B when...
  • Qwen3.6-35B-A3B holds a shared-benchmark lead on MMLU PRO, ahead by 9.3 points.
  • Qwen3.6-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.6-35B-A3B uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Qwen3.6-35B-A3B 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 DeepSeek V3

DeepSeek V3

$155

Cheapest tracked route/tier: Bitdeer AI

Qwen3.6-35B-A3B

$370

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $215. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V3 -> Qwen3.6-35B-A3B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.6-35B-A3B is $0.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Qwen3.6-35B-A3B adds Vision and Multimodal in local capability data.
Qwen3.6-35B-A3B -> DeepSeek V3
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • DeepSeek V3 is $0.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • DeepSeek V3 adds Structured outputs in local capability data.

Specs

Specification
Released2024-12-262026-04-16
Context window64k262k
Parameters671B35B
ArchitectureMixture of ExpertsMixture of Experts
LicenseMITOSI-approvedApache 2.0OSI-approved
OpennessOpen sourceOpen source
WeightsAvailableAvailable
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff2024-04-

Pricing and availability

Pricing attributeDeepSeek V3Qwen3.6-35B-A3B
Input price$0.10/1M tokens$0.15/1M tokens
Output price$0.30/1M tokens$1/1M tokens
Providers
DeepInfraFireworks AIDeepSeek PlatformMicrosoft FoundryOpenRouterNVIDIA NIM
OpenRouterNovita AI

Capabilities

CapabilityDeepSeek V3Qwen3.6-35B-A3B
VisionNoYes
MultimodalNoYes
ReasoningNoNo
JSON / Tool useYesYes
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek V3Qwen3.6-35B-A3B
MMLU PRO75.985.2
LiveCodeBench49.680.4

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.