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DeepSeek 67B Chat vs Together AI Qwen2-72B-Instruct

DeepSeek 67B Chat (2023) and Together AI Qwen2-72B-Instruct (2024) are compact production models from DeepSeek and Alibaba. DeepSeek 67B Chat ships a not-yet-sourced context window, while Together AI Qwen2-72B-Instruct ships a 33K-token context window. On pricing, Together AI Qwen2-72B-Instruct costs $0.7/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Together AI Qwen2-72B-Instruct is safer overall; choose DeepSeek 67B Chat when provider fit matters.

Decision scorecard

Local evidence first
SignalDeepSeek 67B ChatTogether AI Qwen2-72B-Instruct
Decision fitClassification and JSON / Tool useClassification and JSON / Tool use
Context window33K
Cheapest output$0.9/1M tokens$0.7/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek 67B Chat when...
  • Local decision data tags DeepSeek 67B Chat for Classification and JSON / Tool use.
Choose Together AI Qwen2-72B-Instruct when...
  • Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Together AI Qwen2-72B-Instruct has the lower cheapest tracked output price at $0.7/1M tokens.
  • Local decision data tags Together AI Qwen2-72B-Instruct for Classification and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Together AI Qwen2-72B-Instruct

DeepSeek 67B Chat

$945

Cheapest tracked route: Together AI

Together AI Qwen2-72B-Instruct

$735

Cheapest tracked route: Together AI

Estimated monthly gap: $210. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek 67B Chat -> Together AI Qwen2-72B-Instruct
  • Provider overlap exists on Together AI; start route-level A/B tests there.
  • Together AI Qwen2-72B-Instruct is $0.2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Together AI Qwen2-72B-Instruct -> DeepSeek 67B Chat
  • Provider overlap exists on Together AI; start route-level A/B tests there.
  • DeepSeek 67B Chat is $0.2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.

Specs

Specification
Released2023-11-292024-06-07
Context window33K
Parameters67B72B
Architecturedecoder onlydecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek 67B ChatTogether AI Qwen2-72B-Instruct
Input price$0.9/1M tokens$0.7/1M tokens
Output price$0.9/1M tokens$0.7/1M tokens
Providers

Capabilities

CapabilityDeepSeek 67B ChatTogether AI Qwen2-72B-Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, DeepSeek 67B Chat lists $0.9/1M input and $0.9/1M output tokens, while Together AI Qwen2-72B-Instruct lists $0.7/1M input and $0.7/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-72B-Instruct lower by about $0.2 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose DeepSeek 67B Chat when provider fit are central to the workload. Choose Together AI Qwen2-72B-Instruct when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which is cheaper, DeepSeek 67B Chat or Together AI Qwen2-72B-Instruct?

Together AI Qwen2-72B-Instruct is cheaper on tracked token pricing. DeepSeek 67B Chat costs $0.9/1M input and $0.9/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.7/1M input and $0.7/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek 67B Chat or Together AI Qwen2-72B-Instruct open source?

DeepSeek 67B Chat is listed under Open Source. Together AI Qwen2-72B-Instruct is listed under Open Source. 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 67B Chat or Together AI Qwen2-72B-Instruct?

Both DeepSeek 67B Chat and Together AI Qwen2-72B-Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run DeepSeek 67B Chat and Together AI Qwen2-72B-Instruct?

DeepSeek 67B Chat is available on Together AI. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

When should I pick DeepSeek 67B Chat over Together AI Qwen2-72B-Instruct?

Together AI Qwen2-72B-Instruct is safer overall; choose DeepSeek 67B Chat when provider fit matters. If your workload also depends on provider fit, start with DeepSeek 67B Chat; if it depends on provider fit, run the same evaluation with Together AI Qwen2-72B-Instruct.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.