Choose a model to open its comparison page.
Qwen2.5 VL 72B Instruct API pricing covers 16 API providers, from $0.575/M to $16.44/M.
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Input and output token limits for this model, plus how it ranks on long-context understanding.
Compare Qwen2.5 VL 72B Instruct API pricing across 16 providers. Prices range from $0.575/M to $16.44/M. 神马中转API offers the lowest rate at $0.575/M.
| Provider | Health | Model Variant | Group | Input ($/M) | Output ($/M) | Speed (t/s) | First token | Audit |
|---|---|---|---|---|---|---|---|---|
L1 100% | qwen2.5-vl-72b-instruct | default | $2.19/M | $6.58/M | — | — | — | |
L1 100% | qwen2.5-vl-72b-instruct | default | $0.822/M | $3.29/M | — | — | — | |
L1 100% | qwen2.5-vl-72b-instruct | default | $2.19/M | $6.58/M | — | — | — | |
L1 100% | qwen2.5-vl-72b-instruct | SSVIP | $16.00/M | $48.00/M | — | — | — |
gpt-5-4
OpenAI GPT-5.4 extends the GPT-5 family with stronger instruction following, deeper tool use, and improved performance on coding, math, and long-document analysis.
gpt-5-3-codex
OpenAI GPT-5.3 Codex is a code-specialized variant in the GPT-5 series, optimized for code generation, debugging, and software development tasks.
gpt-5-2
OpenAI GPT-5.2 is a GPT-5 series model emphasizing advanced reasoning, multimodal understanding, and high-quality outputs for complex enterprise workloads.
claude-opus-4-6
Anthropic Claude Opus 4.6 is the most capable Claude Opus tier, optimized for complex analysis, long-horizon coding, and high-stakes enterprise reasoning workloads.
claude-sonnet-4-6
Anthropic Claude Sonnet 4.6 extends the Sonnet line with improved tool use, coding reliability, and long-context performance for everyday production workloads.
claude-haiku-4-5
Anthropic Claude Haiku 4.5 delivers fast, low-cost responses while retaining solid instruction following for chat, classification, and lightweight coding.