Draft pick for Cheapest summarization: Qwen3.7 Flash at $1.70 per month. Best quality per dollar for a steady stream of summaries: quality 54.0 at $1.70 a month, no cited GPQA Diamond score. Prices from Models.dev. Data last refreshed Oct 14, 2026, 05:43 PM UTC.
Job
Cheapest summarization
Which model is the cheapest way to summarize a steady stream of documents, and what will it cost each month?
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
Outputs text. Embeddings and image-only models are not in the catalog.
Lab is one of: openai, anthropic, google, meta, mistral, deepseek, xai, alibaba, moonshotai, zhipuai, cohere, amazon, nvidia, microsoft, ai21.
Listed by at least 5 providers. A model on only the lab and a reseller does not clear this.
Not deprecated, and not an alpha release. Beta releases stay in.
Not a specialized model: OCR, embeddings, rerankers, speech, safeguard, or moderation, matched on the name.
Context window of at least 32,000 tokens.
Has a numeric input and output price.
Reference price is not $0. A zero in Models.dev is often an unpublished price.
A benchmark counts only when its source is the model's lab (including that lab's Hugging Face org) or the benchmark owner. Artificial Analysis, OpenRouter, and LLM Stats are dropped. When one benchmark has several cited scores, the median is used.
Summarization score: quality minus 10 times the log of the monthly cost. Doubling the bill costs 10 quality points. Quality starts at 22 and adds reasoning, structured output, tool calls, the log of the context window, and up to 18 from a cited GPQA Diamond score. General-purpose names add 14, efficiency names such as flash or mini add 6, and nano, micro, tiny, or edge names lose 16. A name with no version digit loses 8.
The top pick is the highest job score. On coding agents, models within 4 points of that leader are treated as a flagship tie: the lower monthly bill is the top pick and the higher bill is the premium pick. Otherwise the premium pick is the best upgrade that costs more than the top pick. The budget pick is the highest job score that costs less than the top pick and sits at or below the 25th cost percentile. Output rates above $50 per 1M tokens stay out of the premium card. Summarization uses raw quality, not quality per dollar, when it chooses that upgrade. Remaining ties break to more providers, then a lower monthly cost, then a newer release date.
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.
A fraction of a cent per summary is the wrong trade for customer-facing copy, for a language the cheap model handles badly, or when you need a cited quality score rather than the lowest bill. The premium card is the cited upgrade.
Models listed at $0 are excluded, because a zero in Models.dev is often a missing price rather than a free model. The reference workload is 400 summaries a day, about 3,000 tokens in and 400 out, with nothing cached.
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.