Cost per task: what one benchmark task costs
What an average task of Artificial Analysis' Intelligence Index cost on each configuration, billed at list price over the whole run. The spread between models is far wider than their per-token prices, because verbose reasoning multiplies the token count.
As of 9 Nov 2026, BenchLeader ranks GPT-6 Luna first on the Cost per task: what one benchmark task costs board at $0.0051, ahead of Mistral Small 4 ($0.040) and Granite 4.2 8B ($0.040).
138 models · data as of 9 Nov 2026
Quality against what it costs to get there
The purple line is the efficiency frontier: at each price, the best index anyone reaches. A model above and left of the rest gives you more quality per dollar of real work. Size bands, task costs and token counts come from Artificial Analysis, which is the only source that publishes what a fixed batch of work actually cost and how much a model wrote for it.
- 1GPT-6 Luna (low)$0.0051
- 2Mistral Small 4 (thinking)$0.040
- 3Granite 4.2 8B$0.040
- 4Claude Haiku 5.5 (low)$0.044
- 5GPT-6.1 Terra (low)$0.071
- 6Muse Ember (xhigh)$0.116
- 7MiMo-V2.6-Flash$0.129
- 8GPT-6.1 Sol (low)$0.161
- 9Muse Glimmer (high)$0.170
- 10Gemini 3.1 Flash Lite$0.194
- 11Inkling Small$0.203
- 12MiMo-V2.6-Pro$0.257
- 13Beam 1.0$0.284
- 14Nemotron 3.5 Lightning$0.290
- 15GPT-5.6 Luna (max)$0.331
Cite as: BenchLeader, “Cost per task: what one benchmark task costs”, data as of 9 Nov 2026, https://www.benchleader.com/leaderboards/cost-per-run.