LLM pricing
6 articles tagged with LLM pricing
DeepSeek to Quadruple API Prices for V4 Pro and V4 Flash Starting August 16
DeepSeek will raise API output token pricing roughly fourfold starting August 16, introducing peak and off-peak rates for its V4 Pro and V4 Flash models. Despite the increase, DeepSeek remains cheaper than competitors like OpenAI's GPT-5.6 Sol and Moonshot's Kimi K3.
GitHub Models Retired, Cutting Off Free LLM API Access for GitHub Actions
GitHub Models, the unified LLM API and playground that let GitHub Actions workflows make free AI calls using existing GitHub credentials, has been fully retired. GitHub has not disclosed a reason, though rising inference costs from coding-agent usage are the likely driver.
Qwen3.8 Max Matches Claude Opus 4.8 on Intelligence Index, But Costs 2x More Per Task Than Predecessor
Alibaba's Qwen3.8 Max jumps 10 points to 56 on the Artificial Analysis Intelligence Index, putting it on par with Claude Opus 4.8. But Kimi K3 still edges it out at a lower per-task cost, and Qwen3.8 Max shows a sharp rise in hallucination rate.
Meta Ships Muse Spark 1.2 Coding Model and Muse Code Agent, Undercuts Rivals with $0.20 Output Pricing
Meta released Muse Spark 1.2, a coding-focused upgrade to Spark 1.1, alongside Muse Code, its first dedicated terminal coding agent. The cheapest pricing tier drops output tokens to $0.20 per million, but requires users to share their data for training.
Moonshot AI Releases Kimi K3 Weights: 2.8 Trillion Parameters, Tighter Commercial License
Moonshot AI has released the weights for Kimi K3, a 2.8 trillion parameter model weighing in at 1.56TB on Hugging Face. The new license drops the 'modified MIT' framing and now requires companies earning over $20 million in 12-month revenue from Model-as-a-Service offerings to sign a separate agreement with Moonshot.
Claude Opus 5 Scores 61 on Intelligence Index, Beats Fable 5 on Cost Across Most Benchmarks
Anthropic's Claude Opus 5 posts a 61 on the Artificial Analysis Intelligence Index, narrowly beating Claude Fable 5 (60) and GPT-5.6 Sol (59) while costing less per task. The model leads in coding and knowledge-work benchmarks but shows a rising hallucination rate of 50 percent.