Link:Vellum
Vellum LLM Leaderboard: Benchmarks, Throughput, and Pricing Overview
Vellum's LLM Leaderboard evaluates leading language models across common industry benchmarks, tracking throughput, latency, and token pricing.
Onyx 2026 LLM Leaderboard: Model Rankings, Benchmarks and API Pricing
LinkRoshan DesaiResource
Onyx provides a comprehensive leaderboard ranking open and closed-source LLMs across coding, reasoning, math, and agentic benchmarks alongside detailed API token pricing.
Key points
- Top-tier models: Tier S includes Claude Fable 5 (Anthropic), GPT-5.6 Sol (OpenAI), and Kimi K3 at 2.8T parameters (Moonshot).
- Rigorous evaluation suites: Benchmarks include SWE-bench Verified, Terminal-Bench 2.1, GPQA Diamond, LiveCodeBench, and Humanity's Last Exam (HLE).
- Transparent pricing metrics: Lists per-million token input and output costs across models, ranging from low-cost options like Step-3.5-Flash to premium models such as Claude Fable 5.
- Head-to-head comparison: Allows direct side-by-side analysis between any two models across recorded benchmark scores.
Why it matters
It serves as a single reference point for software engineers and enterprise decision-makers balancing computational capability, agentic performance, and API operational expenses.
Analysis
The ranking covers a wide international ecosystem, including US frontier labs (Anthropic, OpenAI, Google) and competitive Chinese alternatives (Moonshot, DeepSeek, Zhipu AI). The emphasis on benchmarks such as Terminal-Bench 2.1 and SWE-bench Pro highlights an industry shift from basic text generation towards autonomous software engineering and agentic execution.
Mentioned links
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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