DeepSeek R1 Distill Llama 70B vs DeepSeek V3
DeepSeek R1 Distill Llama 70B (2025) and DeepSeek V3 (2024) are frontier reasoning models from DeepSeek. DeepSeek R1 Distill Llama 70B ships a 128K-token context window, while DeepSeek V3 ships a 64k-token context window. On pricing, DeepSeek V3 costs $0.1/1M input tokens versus $0.35/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek V3 is ~250% cheaper at $0.1/1M; pay for DeepSeek R1 Distill Llama 70B only for reasoning depth.
Specs
| Released | 2025-01-20 | 2024-12-26 |
| Context window | 128K | 64k |
| Parameters | 70B | 671B |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Open Source |
| Knowledge cutoff | - | 2024-04 |
Pricing and availability
| DeepSeek R1 Distill Llama 70B | DeepSeek V3 | |
|---|---|---|
| Input price | $0.35/1M tokens | $0.1/1M tokens |
| Output price | $1.05/1M tokens | $0.3/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 Distill Llama 70B | DeepSeek V3 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: DeepSeek R1 Distill Llama 70B, function calling: DeepSeek V3, and tool use: DeepSeek V3. Both models share structured outputs, 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 R1 Distill Llama 70B lists $0.35/1M input and $1.05/1M output tokens, while DeepSeek V3 lists $0.1/1M input and $0.3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3 lower by about $0.4 per million blended tokens. Availability is 4 providers versus 12, so concentration risk also matters.
Choose DeepSeek R1 Distill Llama 70B when reasoning depth and larger context windows are central to the workload. Choose DeepSeek V3 when provider fit, lower input-token cost, and broader provider choice 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 R1 Distill Llama 70B or DeepSeek V3?
DeepSeek R1 Distill Llama 70B supports 128K tokens, while DeepSeek V3 supports 64k 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 R1 Distill Llama 70B or DeepSeek V3?
DeepSeek V3 is cheaper on tracked token pricing. DeepSeek R1 Distill Llama 70B costs $0.35/1M input and $1.05/1M output tokens. DeepSeek V3 costs $0.1/1M input and $0.3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 Distill Llama 70B or DeepSeek V3 open source?
DeepSeek R1 Distill Llama 70B is listed under Open Source. DeepSeek V3 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 reasoning mode, DeepSeek R1 Distill Llama 70B or DeepSeek V3?
DeepSeek R1 Distill Llama 70B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek R1 Distill Llama 70B or DeepSeek V3?
DeepSeek V3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 Distill Llama 70B and DeepSeek V3?
DeepSeek R1 Distill Llama 70B is available on DeepInfra, OpenRouter, Fireworks AI, and Arcee AI. DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.