Llama 3 70B Instruct vs Together AI Qwen2-72B-Instruct
Llama 3 70B Instruct (2024) and Together AI Qwen2-72B-Instruct (2024) are compact production models from AI at Meta and Alibaba. Llama 3 70B Instruct ships a 8k-token context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. On pricing, Llama 3 70B Instruct costs $0.40/1M input tokens versus $0.70/1M 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.
Llama 3 70B Instruct is ~75% cheaper at $0.40/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3 70B Instruct | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Coding, Classification, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 8k | 33k |
| Cheapest output | $0.40/1M tokens | $0.70/1M tokens |
| Provider routes | 18 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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 route or tier on this page.
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $315. Batch, cache, alternate speed tiers, 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 Qwen2-72B-Instruct is $0.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-18 | 2024-06-07 |
| Context window | 8k | 33k |
| Parameters | 70B | 72B |
| Architecture | decoder only | decoder only |
| License | Llama 3 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Llama 3 70B Instruct | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $0.40/1M tokens | $0.70/1M tokens |
| Output price | $0.40/1M tokens | $0.70/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 70B Instruct | Together AI Qwen2-72B-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 |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | 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, Llama 3 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-72B-Instruct lists $0.70/1M input and $0.70/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 70B Instruct lower by about $0.30 per million blended tokens. Availability is 18 providers versus 1, so concentration risk also matters.
Choose Llama 3 70B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Together AI Qwen2-72B-Instruct when long-context analysis and larger context windows 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, Llama 3 70B Instruct or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct supports 33k tokens, while Llama 3 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3 70B Instruct or Together AI Qwen2-72B-Instruct?
Llama 3 70B Instruct is cheaper on tracked token pricing. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.70/1M input and $0.70/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3 70B Instruct or Together AI Qwen2-72B-Instruct open source?
Llama 3 70B Instruct is listed under Llama 3 Community. Together AI Qwen2-72B-Instruct 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, Llama 3 70B Instruct or Together AI Qwen2-72B-Instruct?
Both Llama 3 70B Instruct 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 Llama 3 70B Instruct and Together AI Qwen2-72B-Instruct?
Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3 70B Instruct over Together AI Qwen2-72B-Instruct?
Llama 3 70B Instruct is ~75% cheaper at $0.40/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis. If your workload also depends on provider fit, start with Llama 3 70B Instruct; if it depends on long-context analysis, run the same evaluation with Together AI Qwen2-72B-Instruct.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.