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DeepSeek R1 Distill Llama 70B vs Grok 4

DeepSeek R1 Distill Llama 70B (2025) and Grok 4 (2026) are frontier-tier reasoning models from DeepSeek and xAI. DeepSeek R1 Distill Llama 70B ships a 128K-token context window, while Grok 4 ships a 256k-token context window. On pricing, DeepSeek R1 Distill Llama 70B costs $0.35/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

DeepSeek R1 Distill Llama 70B is ~757% cheaper at $0.35/1M; pay for Grok 4 only for coding workflow support.

Specs

Released2025-01-202026-03-01
Context window128K256k
Parameters70B
Architecturedecoder onlydecoder only
LicenseOpen SourceProprietary
Knowledge cutoff--

Pricing and availability

DeepSeek R1 Distill Llama 70BGrok 4
Input price$0.35/1M tokens$3/1M tokens
Output price$1.05/1M tokens$15/1M tokens
Providers

Capabilities

DeepSeek R1 Distill Llama 70BGrok 4
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 multimodal input: Grok 4 and code execution: Grok 4. Both models share reasoning mode and 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 Grok 4 lists $3/1M input and $15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 Distill Llama 70B lower by about $6.04 per million blended tokens. Availability is 4 providers versus 3, so concentration risk also matters.

Choose DeepSeek R1 Distill Llama 70B when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Grok 4 when coding workflow support 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, DeepSeek R1 Distill Llama 70B or Grok 4?

Grok 4 supports 256k tokens, while DeepSeek R1 Distill Llama 70B supports 128K 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 Grok 4?

DeepSeek R1 Distill Llama 70B is cheaper on tracked token pricing. DeepSeek R1 Distill Llama 70B costs $0.35/1M input and $1.05/1M output tokens. Grok 4 costs $3/1M input and $15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek R1 Distill Llama 70B or Grok 4 open source?

DeepSeek R1 Distill Llama 70B is listed under Open Source. Grok 4 is listed under Proprietary. 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 multimodal input, DeepSeek R1 Distill Llama 70B or Grok 4?

Grok 4 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, DeepSeek R1 Distill Llama 70B or Grok 4?

Both DeepSeek R1 Distill Llama 70B and Grok 4 expose reasoning mode. 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 R1 Distill Llama 70B and Grok 4?

DeepSeek R1 Distill Llama 70B is available on DeepInfra, OpenRouter, Fireworks AI, and Arcee AI. Grok 4 is available on Microsoft Foundry, OpenRouter, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.