LLM Reference

DeepSeek V3 0324 vs Qwen3-9B

DeepSeek V3 0324 (2025) and Qwen3-9B (2025) are general-purpose language models from DeepSeek and Alibaba. DeepSeek V3 0324 ships a 160k-token context window, while Qwen3-9B ships a 256k-token context window. On pricing, Qwen3-9B costs $0.04/1M input tokens versus $0.27/1M 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.

Qwen3-9B is ~575% cheaper at $0.04/1M; pay for DeepSeek V3 0324 only for provider fit.

Decision scorecard

Local evidence first
SignalDeepSeek V3 0324Qwen3-9B
Best forprovider-routed productiongeneral production evaluation
Decision fitCoding, Agents, and Long contextRAG, Long context, and Classification
Context window160k256k
Cheapest output$1.12/1M tokens$0.20/1M tokens
Provider routes3 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek V3 0324 when...
  • DeepSeek V3 0324 has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags DeepSeek V3 0324 for Coding, Agents, and Long context.
Choose Qwen3-9B when...
  • Qwen3-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3-9B has the lower cheapest tracked output price at $0.20/1M tokens.
  • Qwen3-9B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Qwen3-9B for RAG, Long context, and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3-9B

DeepSeek V3 0324

$496

Cheapest tracked route/tier: Novita AI

Qwen3-9B

$82.00

Cheapest tracked route/tier: DeepInfra

Estimated monthly gap: $414. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V3 0324 -> Qwen3-9B
  • No overlapping tracked provider route is sourced for DeepSeek V3 0324 and Qwen3-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3-9B is $0.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Qwen3-9B adds Structured outputs in local capability data.
Qwen3-9B -> DeepSeek V3 0324
  • No overlapping tracked provider route is sourced for Qwen3-9B and DeepSeek V3 0324; plan for SDK, billing, or endpoint changes.
  • DeepSeek V3 0324 is $0.92/1M 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.

Specs

Specification
Released2025-03-242025-04-28
Context window160k256k
Parameters671B9B
Architecturedecoder onlydecoder only
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek V3 0324Qwen3-9B
Input price$0.27/1M tokens$0.04/1M tokens
Output price$1.12/1M tokens$0.20/1M tokens
Providers

Capabilities

CapabilityDeepSeek V3 0324Qwen3-9B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Qwen3-9B. Both models share the core language-model surface, 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, DeepSeek V3 0324 lists $0.27/1M input and $1.12/1M output tokens on the cheapest tracked provider, while Qwen3-9B lists $0.04/1M input and $0.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-9B lower by about $0.44 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose DeepSeek V3 0324 when provider fit and broader provider choice are central to the workload. Choose Qwen3-9B when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, DeepSeek V3 0324 or Qwen3-9B?

Qwen3-9B supports 256k tokens, while DeepSeek V3 0324 supports 160k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, DeepSeek V3 0324 or Qwen3-9B?

Qwen3-9B is cheaper on tracked token pricing. DeepSeek V3 0324 costs $0.27/1M input and $1.12/1M output tokens. Qwen3-9B costs $0.04/1M input and $0.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek V3 0324 or Qwen3-9B open source?

DeepSeek V3 0324 is listed under MIT. Qwen3-9B is listed under Apache 2.0. 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 structured outputs, DeepSeek V3 0324 or Qwen3-9B?

Qwen3-9B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V3 0324 and Qwen3-9B?

DeepSeek V3 0324 is available on Fireworks AI, Microsoft Foundry, and Novita AI. Qwen3-9B is available on DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick DeepSeek V3 0324 over Qwen3-9B?

Qwen3-9B is ~575% cheaper at $0.04/1M; pay for DeepSeek V3 0324 only for provider fit. If your workload also depends on provider fit, start with DeepSeek V3 0324; if it depends on long-context analysis, run the same evaluation with Qwen3-9B.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.