Pick for RAG answering: Muse Spark 1.3 at $48.92 per month. Best cited long-context result for reading retrieved chunks: 1,048,576-token window, billed at $1.25 per 1M input on this workload, MRCR 98.3. Prices from Models.dev. Data last refreshed Oct 16, 2026, 07:15 AM UTC.

Job

RAG answering

Which model should read retrieved chunks in a RAG pipeline, and what will it cost each month?

This ranks the model that reads retrieved text, not the embedding model. Embeddings and rerankers are not in this catalog. The score weighs the context window, the input rate on a chunk-sized prompt, and a cited MRCR result. Cards are chosen only from models with that citation. A long window is not proof the model uses every chunk.

How this pick is chosen

120 questions a day. Each prompt is about 12,000 tokens of retrieved chunks plus the question, and the answer is about 600 tokens. 30% of the input is treated as cached.

205 models cleared the bar.304 failed the lab, provider, or specialty bar.12 failed a capability filter.1 listed at $0 were left out.0 had no usable price.

Top pick

Muse Spark 1.3

$48.92 / month

Best cited long-context result for reading retrieved chunks: 1,048,576-token window, billed at $1.25 per 1M input on this workload, MRCR 98.3.

Score 71.3 · $1.25 input · $4.25 output per 1M · context 1,048,576 · 16 providers

Budget pick

DeepSeek V4 Flash

$5.23 / month

Lower bill with a cited MRCR result: 1,000,000-token window, billed at $0.14 per 1M input on this workload, MRCR 78.7.

Score 65.9 · $0.14 input · $0.28 output per 1M · context 1,000,000 · 52 providers

Premium pick

Qwen3.8 Max

$76.68 / month

Stronger cited MRCR result among the models that cost more: 1,000,000-token window, billed at $2.00 per 1M input on this workload, MRCR 92.9.

Score 64.3 · $2.00 input · $6.00 output per 1M · context 1,000,000 · 32 providers

When not to use it

Skip this page when you are choosing an embedding or a reranker, or when the whole document has to sit in one prompt. Whole-document questions are on the long-document page, and that workload is much larger.

The reference workload is 120 questions a day, about 12,000 tokens in and 600 out, with a 30% cache hit. Change the calculator for a denser retrieval setup. The cards reprice; they do not re-rank.

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 205 models at the reference workload, highest job score first. Scores are shown to one decimal. 193 more cleared the bar and rank lower.
Caps
71.3Muse Spark 1.3$48.92$1.25$4.251,048,57616Sep 2, 2026
65.9DeepSeek V4 Flash$5.23$0.14$0.281,000,00052Apr 24, 2026
65.3DeepSeek V4 Pro$49.01$1.32$3.961,000,00058Apr 24, 2026
64.3Qwen3.8 Max$76.68$2.00$6.001,000,00032Aug 3, 2026
57.9Muse Spark 1.2$48.92$1.25$4.251,048,57618Aug 5, 2026
20.4GPT-6 Luna$4.23$0.10$0.501,050,00034Sep 22, 2026
18.8GPT-5.6 Luna$8.90$0.20$1.201,050,00046Jul 9, 2026
16.3Llama 4 Scout 17B Instruct$12.31$0.25$0.7010,000,0006Apr 5, 2025
16.0Qwen3.7 Plus$16.07$0.40$1.601,000,00030Jun 2, 2026
16.0Qwen3.5 Plus$22.46$0.40$2.401,000,00011Feb 16, 2026
14.9GLM-4.7-FlashX$3.11$0.07$0.40200,0009Jan 19, 2026
14.8Nemotron 3 Ultra 550B A55B$22.46$0.50$2.501,000,00022Jun 4, 2026