LLM Reference

DeepSeek V4 Pro vs Qwen3.6-35B-A3B

DeepSeek V4 Pro (2026) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. DeepSeek V4 Pro ships a 1m-token context window, while Qwen3.6-35B-A3B ships a 262k-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 2.3 pts. On pricing, Qwen3.6-35B-A3B costs $0.15/1M input tokens versus $0.43/1M 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 V4 Pro 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 V4 ProQwen3.6-35B-A3B
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, tool-calling agents, and long-context analysiscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m262k
Cheapest output$0.87/1M tokens$1/1M tokens
Provider routes5 tracked2 tracked
Shared benchmarksMMLU PRO leader5 shared

Decision tradeoffs

Choose DeepSeek V4 Pro when...
  • DeepSeek V4 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 2.3 points.
  • DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
  • DeepSeek V4 Pro has broader tracked provider coverage for fallback and route flexibility.
  • DeepSeek V4 Pro uniquely exposes Reasoning and Structured outputs in local model data.
Choose Qwen3.6-35B-A3B when...
  • 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 Qwen3.6-35B-A3B

DeepSeek V4 Pro

$566

Cheapest tracked route/tier: DeepSeek Platform

Qwen3.6-35B-A3B

$370

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $196. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V4 Pro -> Qwen3.6-35B-A3B
  • Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
  • Qwen3.6-35B-A3B is $0.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Reasoning and Structured outputs before moving production traffic.
  • Qwen3.6-35B-A3B adds Vision and Multimodal in local capability data.
Qwen3.6-35B-A3B -> DeepSeek V4 Pro
  • Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
  • DeepSeek V4 Pro is $0.13/1M 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 V4 Pro adds Reasoning and Structured outputs in local capability data.

Specs

Specification
Released2026-04-242026-04-16
Context window1m262k
Parameters1.6T35B
ArchitectureMixture of ExpertsMixture of Experts
LicenseMITOSI-approvedApache 2.0OSI-approved
OpennessOpen sourceOpen source
WeightsAvailableAvailable
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek V4 ProQwen3.6-35B-A3B
Input price$0.43/1M tokens$0.15/1M tokens
Output price$0.87/1M tokens$1/1M tokens
Providers

Capabilities

CapabilityDeepSeek V4 ProQwen3.6-35B-A3B
VisionNoYes
MultimodalNoYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek V4 ProQwen3.6-35B-A3B
MMLU PRO87.585.2
SWE-bench Verified80.673.4
SWE-bench Pro55.449.5
Google-Proof Q&A90.186.0
LiveCodeBench93.580.4

Continue comparing

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