Job

Cheapest summarization

Which model is the cheapest way to summarize a steady stream of documents, and what will it cost each month?

DRAFT — placeholder editorial, not approved. The score is quality minus a log of the monthly cost, with a cited GPQA Diamond result when the lab published one. The premium card uses raw quality. If the top pick is already the cheapest model, there is no separate budget card.

How this pick is chosen

Four hundred summaries a day. Each one reads about 3,000 tokens and writes about 400. Nothing is cached.

212 models cleared the bar.303 failed the lab, provider, or specialty bar.3 failed a capability filter.1 listed at $0 were left out.0 had no usable price.

Top pick

Qwen3.7 Flash

$1.70 / month

Best quality per dollar for a steady stream of summaries: quality 54.0 at $1.70 a month, no cited GPQA Diamond score.

Score 46.3 · $0.03 input · $0.13 output per 1M · context 1,000,000 · 12 providers

Budget pick

No cheaper model

Qwen3.7 Flash is already the lowest monthly bill that cleared the bar.

Premium pick

GPT-6 Astra

$600 / month

Highest summary quality if you spend more: quality 79.3 before the bill, GPQA Diamond 96 (openai.com).

Quality 79.3 · $10.00 input · $50.00 output per 1M · context 1,050,000 · 32 providers

When not to use it

DRAFT — placeholder. Do not treat this as a reason to avoid the pick. A finished note should say when a fraction of a cent per summary is the wrong trade, for example customer-facing copy or documents in a language the cheap model handles badly.

DRAFT — placeholder. Models listed at $0 are excluded, because a zero in Models.dev is often a missing price rather than a free model.

Change the workload

Prices are USD per 1M tokens. A month is 30 days. Cache hits use the cache-read rate when the model has one; otherwise the cache field is ignored.

monthly = requests/day × 30 × (input tokens × (1 − cache hit) × input price + input tokens × cache hit × cache-read price + output tokens × output price) ÷ 1,000,000

The three cards follow the inputs. Fit, and who holds each role, stays on the reference workload.

Everyone who cleared the bar, best fit first

Top 12 of 212 models at the reference workload, highest job score first. Scores are shown to one decimal. 200 more cleared the bar and rank lower.
ScoreModelMonthlyInputOutputContextProviders
46.3Qwen3.7 Flash$1.70$0.03$0.131,000,00012
43.1DeepSeek V4 Flash$6.38$0.14$0.281,000,00052
39.8DeepSeek V4.1 Flash$8.28$0.15$0.601,000,00064
37.2Qwen3.8 Flash Next$9.60$0.20$0.50262,1445
34.4Command R7B$2.07$0.038$0.15128,0006
33.7GLM-4.7-FlashX$4.44$0.07$0.40200,0009
33.7GPT-5.6 Luna$12.96$0.20$1.201,050,00044
33.1GPT OSS 20B$3.96$0.07$0.30131,07222
32.2Qwen3.5 9B$4.32$0.10$0.15262,14415
30.5GPT OSS 120B$8.28$0.15$0.60131,07244
29.4Gemini 2.5 Flash-Lite$5.52$0.10$0.401,048,57620
29.3Qwen3.5 Flash$5.52$0.10$0.401,000,0009