Roundup
Best AI Models for Coding
Which frontier models actually hold up in multi-file refactors, agentic tooling and test-driven work, and what they cost per million tokens.
DeepSeek: R1 Distill Llama 70B
deepseek/deepseek-r1-distill-llama-70b
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Listed (23 Jan 2025)
Source: OpenRouter (live)
- Input
- $0.800
- USD per 1M tokens
- Output
- $0.800
- USD per 1M tokens
- Blended
- $0.800
- 75% in / 25% out
- Context
- 8K
- tokens
- Max output
- 7K
- tokens
- Modality
- text->text
Prices as listed on OpenRouter, refreshed every five minutes. Provider-direct prices may differ. Convert to your currency on the AI Tracker.
Capabilities
Declared on the listing
- Tool / function calling Not declared
- Reasoning controls Declared
- Structured output Not declared
- InputText
- OutputText
Capabilities are read from the provider listing. “Not declared” means the listing does not advertise the feature, not that it is absent.
Why it costs this
Pricing context
- 1% below median
- Cheap output
- Market median blended price is $0.806/M across 417 priced models.
Alternatives
More from DeepSeek
DeepSeek
$0.262
/M blended
$0.165
/M blended
$0.323
/M blended
DeepSeek: DeepSeek V4 Pro 0813
DeepSeek
$0.806
/M blended
$0.990
/M blended
DeepSeek: DeepSeek V4 Flash 0731
DeepSeek
$0.050
/M blended
Alternatives
Similar price, other providers
Mistral
$0.800
/M blended
Mistral
$0.800
/M blended
Mistral
$0.800
/M blended
Qwen (Alibaba)
$0.796
/M blended
~Deepseek
$0.806
/M blended
Qwen (Alibaba)
$0.788
/M blended
Within ±50% of $0.800/M blended.
Analysis
Related reading
Review
DeepSeek Review
Open-weight, remarkably cheap and genuinely capable. Where DeepSeek fits and what to watch for.
Low-cost open-weight reasoning and chat models. All DeepSeek models · Official site
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