Together AI Deepseek-LLM-67B-Chat vs Together AI Qwen2-7B-Instruct
Together AI Deepseek-LLM-67B-Chat (2024) and Together AI Qwen2-7B-Instruct (2024) are compact production models from DeepSeek and Alibaba. Together AI Deepseek-LLM-67B-Chat ships a 4K-token context window, while Together AI Qwen2-7B-Instruct ships a 33K-token context window. On pricing, Together AI Qwen2-7B-Instruct costs $0.15/1M input tokens versus $0.6/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI Qwen2-7B-Instruct is ~300% cheaper at $0.15/1M; pay for Together AI Deepseek-LLM-67B-Chat only for provider fit.
Decision scorecard
Local evidence first| Signal | Together AI Deepseek-LLM-67B-Chat | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 4K | 33K |
| Cheapest output | $0.6/1M tokens | $0.15/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Together AI Deepseek-LLM-67B-Chat for Classification and JSON / Tool use.
- Together AI Qwen2-7B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Qwen2-7B-Instruct has the lower cheapest tracked output price at $0.15/1M tokens.
- Local decision data tags Together AI Qwen2-7B-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.
Together AI Deepseek-LLM-67B-Chat
$630
Cheapest tracked route: Together AI
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route: Together AI
Estimated monthly gap: $473. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI Qwen2-7B-Instruct is $0.45/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI Deepseek-LLM-67B-Chat is $0.45/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-01-09 | 2024-06-07 |
| Context window | 4K | 33K |
| Parameters | 67B | 7B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI Deepseek-LLM-67B-Chat | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $0.6/1M tokens | $0.15/1M tokens |
| Output price | $0.6/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Together AI Deepseek-LLM-67B-Chat | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
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, Together AI Deepseek-LLM-67B-Chat lists $0.6/1M input and $0.6/1M output tokens, while Together AI Qwen2-7B-Instruct lists $0.15/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-7B-Instruct lower by about $0.45 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Together AI Deepseek-LLM-67B-Chat when provider fit are central to the workload. Choose Together AI Qwen2-7B-Instruct 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Together AI Deepseek-LLM-67B-Chat or Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct supports 33K tokens, while Together AI Deepseek-LLM-67B-Chat supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Together AI Deepseek-LLM-67B-Chat or Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct is cheaper on tracked token pricing. Together AI Deepseek-LLM-67B-Chat costs $0.6/1M input and $0.6/1M output tokens. Together AI Qwen2-7B-Instruct costs $0.15/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI Deepseek-LLM-67B-Chat or Together AI Qwen2-7B-Instruct open source?
Together AI Deepseek-LLM-67B-Chat is listed under Open Source. Together AI Qwen2-7B-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, Together AI Deepseek-LLM-67B-Chat or Together AI Qwen2-7B-Instruct?
Both Together AI Deepseek-LLM-67B-Chat and Together AI Qwen2-7B-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 Together AI Deepseek-LLM-67B-Chat and Together AI Qwen2-7B-Instruct?
Together AI Deepseek-LLM-67B-Chat is available on Together AI. Together AI Qwen2-7B-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 Together AI Deepseek-LLM-67B-Chat over Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct is ~300% cheaper at $0.15/1M; pay for Together AI Deepseek-LLM-67B-Chat only for provider fit. If your workload also depends on provider fit, start with Together AI Deepseek-LLM-67B-Chat; if it depends on long-context analysis, run the same evaluation with Together AI Qwen2-7B-Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.