Model Releases
Many still debate open vs closed, and compare cost per token (accounting metric). Better to shift attention to cost per successful task. @se…
Many still debate open vs closed, and compare cost per token (accounting metric). Better to shift attention to cost per successful task. @seldo and the team at @arizeai did so across 2,400 runs. Concl
Many still debate open vs closed, and compare cost per token (accounting metric). Better to shift attention to cost per successful task. @seldo and the team at @arizeai did so across 2,400 runs. Conclusion: route by task difficulty, and you win on both cost and coverage. Token price tells you what a model costs to call. It does not tell you what it costs to finish the job. Arize and @FireworksAI_HQ benchmarked 10 models across 2,400 agent runs, including Kimi K3. In his tests, Arize's Head of DevRel @seldo found: • Kimi K3 nearly matched GPT-5.5 …
Related
- Cost per successful task: Benchmarking Kimi K3, GPT-5.5, and 8 more AI models
- Budget blown on closed APIs is a solvable problem. Simply replace 20m of closed-source tokens with 1m on Minimax M2.7. Frontier performanc…
Source: Fireworks AI (X) | 2026-07-23