Which is cheaper, DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking?
As of August 20, 2026, DeepSeek R1 Distill Llama 70B is 96% cheaper on blended LLM API pricing. DeepSeek R1 Distill Llama 70B costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). GPT-5.1 Thinking costs $1.25 / $10.00 per million tokens ($11.25 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does DeepSeek R1 Distill Llama 70B vs GPT-5.1 Thinking cost per million tokens?
DeepSeek R1 Distill Llama 70B DeepSeek API pricing is $0.10 input and $0.40 output per million tokens via DeepSeek. GPT-5.1 Thinking OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking?
GPT-5.1 Thinking has a published SWE-bench Verified score of 76.3%. DeepSeek R1 Distill Llama 70B does not have that eval on this page yet.
What is the context window for DeepSeek R1 Distill Llama 70B vs GPT-5.1 Thinking?
DeepSeek R1 Distill Llama 70B supports a 128K token context window, while GPT-5.1 Thinking supports 400K tokens. GPT-5.1 Thinking offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking?
GPT-5.1 Thinking leads on 2 of 2 shared benchmarks versus DeepSeek R1 Distill Llama 70B's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking better for production use?
Both DeepSeek R1 Distill Llama 70B and GPT-5.1 Thinking are production API models. For cost-sensitive production traffic, DeepSeek R1 Distill Llama 70B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between DeepSeek R1 Distill Llama 70B and GPT-5.1 Thinking in my app?
Yes. Call DeepSeek R1 Distill Llama 70B through DeepSeek and GPT-5.1 Thinking through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this DeepSeek R1 Distill Llama 70B vs GPT-5.1 Thinking pricing data?
List rates are the latest published DeepSeek API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/pricing and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for DeepSeek R1 Distill Llama 70B and GPT-5.1 Thinking?
DeepSeek R1 Distill Llama 70B supports up to 128K output tokens per request, while GPT-5.1 Thinking supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking?
DeepSeek R1 Distill Llama 70B runs at approximately 37 tokens/second while GPT-5.1 Thinking runs at 80 tokens/second. GPT-5.1 Thinking is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this DeepSeek R1 Distill Llama 70B vs GPT-5.1 Thinking comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek R1 Distill Llama 70B or GPT-5.1 Thinking from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
