Pick for Image understanding: GPT-5.6 Luna at $1.18 per month. Best cited image score for the bill: MMMU Pro 78.4 (openai.com). Prices from Models.dev. Data last refreshed Oct 16, 2026, 07:15 AM UTC.

Job

Image understanding

Which model should I use to read images, and what will it cost each month?

The model has to accept images. The score uses the first cited bench in this order: MMMU Pro, then CharXiv Reasoning, then MathVision, then BabyVision. A narrower bench is capped so it does not outrank a multimodal score. Cards are chosen only from models with one of those cited results.

How this pick is chosen

Forty images a day. Each request counts about 2,500 input tokens, which is enough for a screenshot or a page photo plus a short question, and about 400 tokens of answer.

155 models cleared the bar.304 failed the lab, provider, or specialty bar.63 failed a capability filter.0 listed at $0 were left out.0 had no usable price.

Top pick

GPT-5.6 Luna

$1.18 / month

Best cited image score for the bill: MMMU Pro 78.4 (openai.com).

Score 77.7 · $0.20 input · $1.20 output per 1M · context 1,050,000 · 46 providers

Budget pick

Qwen3.8 Flash Next

$0.84 / month

Lower bill with a cited image score: CharXiv Reasoning 87.6 (huggingface.co).

Score 75.2 · $0.20 input · $0.50 output per 1M · context 262,144 · 5 providers

Premium pick

Gemini 3.5 Flash

$8.82 / month

Highest cited image score among the models that cost more: MMMU Pro 83.6 (deepmind.google).

Score 74.2 · $1.50 input · $9.00 output per 1M · context 1,048,576 · 34 providers

When not to use it

Skip this page for OCR-only tools, video, or a screenshot agent that has to click. Those are different jobs. A cited MMMU or chart score is not a promise about your own forms.

The reference workload is 40 images a day. Image tokens are priced as input tokens. The calculator changes the bill, not the 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 155 models at the reference workload, highest job score first. Scores are shown to one decimal. 143 more cleared the bar and rank lower.
Caps
77.7GPT-5.6 Luna$1.18$0.20$1.201,050,00046Jul 9, 2026
75.2Qwen3.8 Flash Next$0.84$0.20$0.50262,1445Aug 27, 2026
74.2Gemini 3.5 Flash$8.82$1.50$9.001,048,57634May 19, 2026
70.9GPT-5.4 mini$4.41$0.75$4.50400,00033Mar 17, 2026
70.0GPT-5.6 Terra$11.76$2.00$12.001,050,00043Jul 9, 2026
69.7GPT-5.6 Sol$21.60$4.00$20.001,050,00047Jul 9, 2026
69.6Qwen3.8 27B$2.70$0.42$3.00262,14445Aug 14, 2026
69.6GPT-5.4$14.70$2.50$15.001,050,00040Mar 5, 2026
68.2Gemini 3.6 Flash$4.05$0.75$3.751,048,57630Jul 21, 2026
67.5Muse Spark 1.1$5.79$1.25$4.251,048,57615Apr 8, 2026
67.2Gemini 3.8 Flash$4.05$0.75$3.751,048,57627Sep 2, 2026
67.0GPT-5.4 nano$1.20$0.20$1.25400,00029Mar 17, 2026