ModelPriceWatch.com
Last scan 2026-11-07 Models tracked 308 Providers 42 Cheapest paid pplx-decider-flash-v1.2 $0.010/Mtok in Every price links to its source

Best Multimodal LLM APIs

Compare multimodal LLM APIs that accept text, images, video, and audio. Vision-capable models ranked by independent capability index, with verified pricing.

78 models qualify top 27 shown ranked by AA Intelligence Index
1Anthropic

Claude Opus 5.5

58.4 AA Intelligence Index

$8.00/1M blended · $4.00 in · $20.00 out

2OpenAI

GPT-6.1 Sol

54.5 AA Intelligence Index

$4.00/1M blended · $2.00 in · $10.00 out

3Anthropic

Claude Sonnet 5.5

54.2 AA Intelligence Index

$4.00/1M blended · $2.00 in · $10.00 out

MODELPRICEWATCH.COM · 2026-11-07

Cost calculator for this use casemonthly cost, top 3 models

1 Claude Opus 5.5
$—
2 GPT-6.1 Sol
$—
3 Claude Sonnet 5.5
$—

Full ranking — top 27 models

list prices, USD per 1M tokens
Top 27 models for Best Multimodal LLM APIs, ranked by AA Intelligence Index
Model AA Intelligence Index Blended* Input Output Context Provider
1Claude Opus 5.5 58.4 $8.00 $4.00 $20.00 1M Anthropic
2GPT-6.1 Sol 54.5 $4.00 $2.00 $10.00 1M OpenAI
3Claude Sonnet 5.5 54.2 $4.00 $2.00 $10.00 1M Anthropic
4GPT-6.1 Terra 51 $2.00 $1.00 $5.00 1M OpenAI
5Claude Opus 5 50.8 $10.00 $5.00 $25.00 1M Anthropic
6Claude Fable 5 49.6 $20.00 $10.00 $50.00 1M Anthropic
7Claude Fable 5.1 49 $20.00 $10.00 $50.00 1M Anthropic
8GPT-6 Sol 47.6 $4.00 $2.00 $10.00 1M OpenAI
9GPT-5.6 Sol 47 $8.00 $4.00 $20.00 1M OpenAI
10Grok 4.6 44.3 $3.00 $2.00 $6.00 500K xAI
11Kimi K3 43.6 $6.00 $3.00 $15.00 1M Moonshot
12GPT-5.2 42.2 $4.81 $1.75 $14.00 400K OpenAI
13GPT-5.6 Terra 42.1 $4.50 $2.00 $12.00 1M OpenAI
14Claude Opus 4.8 41.8 $10.00 $5.00 $25.00 1M Anthropic
15Qwen3.8-Max 40.2 $3.00 $2.00 $6.00 1M Alibaba
16Muse Spark 1.2 39.6 $2.00 $1.25 $4.25 1M Meta
17Grok 4.5 38.8 $3.00 $2.00 $6.00 500K xAI
18GPT-5.5 38.4 $11.25 $5.00 $30.00 1M OpenAI
19Claude Sonnet 5 38.2 $4.00 $2.00 $10.00 1M Anthropic
20GPT-5.6 Luna 37.3 $0.450 $0.200 $1.20 1M OpenAI
21MiniMax-M3.1-Flash 28.9 $0.262 $0.150 $0.600 1M MiniMax
22Particle-1 — $0.438 $0.250 $1.00 1M Particle AI
23Inkling 2 Small — $0.475 $0.300 $1.00 262K Thinking Machines
24LongCat-2.5 — $0.525 $0.300 $1.20 1M Meituan
25Hy4 — $0.625 $0.417 $1.25 1M Tencent
26Kimi K3.1 Pro — $4.00 $2.00 $10.00 1M Moonshot
27Kimi K3.1 Pro HighSpeed — $8.00 $4.00 $20.00 1M Moonshot
Ranked by AA Intelligence Index — independent leaderboard data; benchmark citations are on each model page. Scores flagged “vendor” are the maker's own claim, shown for reference and ranked below independently-scored models; models with no published score rank last, cheapest first. * Blended = (3×input + 1×output) ÷ 4. Every price links to its source on the model page.

Recent price movement in this ranking

price-only deltas · logged by the daily scan

3 of the top 27 multimodal models have re-priced since we began tracking · last checked .

Models in this Best Multimodal LLM APIs ranking that have re-priced since tracking began, most recent move first
Model Changes Latest move Provider
GPT-5.6 Sol 1 price cut on : $5.00/$30.00 → $4.00/$20.00 /Mtok OpenAI
GPT-5.6 Terra 1 price cut on : $2.50/$15.00 → $2.00/$12.00 /Mtok OpenAI
GPT-5.6 Luna 1 price cut on : $1.00/$6.00 → $0.200/$1.20 /Mtok OpenAI
Changes = distinct price moves logged since tracking began; in/out prices are $ per 1M tokens. MODELPRICEWATCH.COM · 2026-11-07

Most recently, GPT-5.6 Sol cut its price on — a sign pricing in this category is still moving, so re-check before committing to a long-term choice. See all recent price moves →

How models are selected

Generally-available models that accept image input, ranked by the Artificial Analysis Intelligence Index (an independent cross-benchmark composite). One row per model — host duplicates are collapsed. Models without an index score rank below scored ones, cheapest first.

Prices are per million tokens (Mtok), sourced directly from — and linked to — official provider pricing pages. "Blended cost" is (3×input + 1×output) ÷ 4 — weighted toward input because real workloads read far more tokens than they generate.

Other use case rankings