Start with the job, inspect the evidence, then price your own workload. Recommendations compare models within one benchmark source and evaluation setup. They cover the evidence we have, not every model on the market.
What are you building?
What matters most?
High-volume jobs where price dominates: classification, summarization, embedding-like preprocessing. Optimizes for $/M input, with a minimum quality floor so picks aren't garbage. Quality measured by the LiveBench average (reasoning, coding, maths, data analysis, language and instruction following); models LiveBench has not scored fall back to Aider polyglot, compared only with other Aider results.
Quality threshold: 15.0% on livebench-average (fallback when it ranks nothing: aider-polyglot). Ranking cost uses input price per million tokens. Your workload estimate below uses your own token counts.
Picks from comparable evidence
Comparison group: livebench · livebench-average · release=2026-06-25; score=mean of task means per category. 32 evidence groups tracked; 53 records excluded from this recommendation because of comparison coverage, pricing, or the quality threshold.
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What will my workload cost?
Compare exact models and providers before you fill up.
Updating estimates for the selected workload…
glm-5.3-flash [release=2026-06-25; score=mean of task means per category]
baidu
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qwen3.8-flash-next [release=2026-06-25; score=mean of task means per category]
amd
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Estimates use tracked list rates. They are not actual charges or a billing commitment. Taxes, tool fees, negotiated rates and provider-specific limits may differ. Provider sign-in is required to buy credits.
All contenders shown belong to the comparison group above. Benchmark settings and price observations can change; inspect source evidence before relying on a result.