OpenRouter Pricing
OpenRouter charges between $0.030 and $30.00 per 1 million output tokens, depending on the model. Ling-2.6-flash is the cheapest at $0.030/1M output and $0.010/1M input; GPT-5.6 Sol is the most expensive at $30.00/1M output. The largest context window is 10.0M tokens (Llama 4 Scout). Prices are USD, current as of July 20, 2026.
Last updated · synced weekly from the upstream model catalog
Cheapest input
$0.010/1M
Ling-2.6-flash
Cheapest output
$0.030/1M
Ling-2.6-flash
Longest context
10.0M
Llama 4 Scout
Models priced
403
Avg $10.21/1M output
Pricing by model
All prices in USD per 1 million tokens. Showing 80 of 403 priced models, cheapest first.
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Ling-2.6-flash ToolsCache | $0.010 | $0.030 | 262K |
| Mistral Nemo Tools | $0.019 | $0.030 | 131K |
| Llama 3 8B Lunaris | $0.040 | $0.050 | 8K |
| MythoMax 13B | $0.060 | $0.060 | 4K |
| Llama 3.1 8B Instruct ToolsCache | $0.050 | $0.080 | 131K |
| Mistral Small 3 | $0.050 | $0.080 | 33K |
| Gemma 3 4B Vision | $0.050 | $0.100 | 131K |
| Granite 4.1 8B ToolsCache | $0.050 | $0.100 | 131K |
| Ministral 3 3B 2512 VisionToolsCache | $0.100 | $0.100 | 131K |
| Mistralai Ministral 3B 2512 | $0.100 | $0.100 | 131K |
| Nex-N2-Mini VisionReasoningToolsCache | $0.025 | $0.100 | 262K |
| OpenAI GPT Oss 20B | $0.020 | $0.100 | 131K |
| Qwen Qwen3 235B A22b 2507 | $0.071 | $0.100 | 262K |
| Qwen2.5 7B Instruct Tools | $0.040 | $0.100 | 131K |
| Reka Edge VisionTools | $0.100 | $0.100 | 16K |
| Granite 4.0 Micro | $0.017 | $0.112 | 131K |
| Gemma 3n 4B | $0.060 | $0.120 | 33K |
| Laguna XS 2.1 ReasoningToolsCache | $0.060 | $0.120 | 262K |
| GPT OSS 20B ReasoningToolsCache | $0.030 | $0.130 | 131K |
| Mistralai Mistral 7B Instruct | $0.130 | $0.130 | 33K |
| Nova Micro 1.0 Tools | $0.035 | $0.140 | 128K |
| Phi 4 | $0.070 | $0.140 | 16K |
| Command R7B | $0.037 | $0.150 | 128K |
| Gemma 3 12B VisionTools | $0.050 | $0.150 | 131K |
| Ministral 3 8B 2512 VisionToolsCache | $0.150 | $0.150 | 262K |
| Mistralai Ministral 8B 2512 | $0.150 | $0.150 | 262K |
| Qwen3.5 9B VisionReasoningTools | $0.100 | $0.150 | 262K |
| GPT OSS 120B ReasoningTools | $0.037 | $0.170 | 131K |
| Llama Guard 4 12B Vision | $0.180 | $0.180 | 164K |
| Qwen Qwen 2.5 Coder 32B Instruct | $0.180 | $0.180 | 34K |
| DeepSeek V4 Flash ReasoningToolsCache | $0.098 | $0.196 | 1.0M |
| Bytedance Ui Tars 1.5 7B | $0.100 | $0.200 | 131K |
| Ministral 3 14B 2512 VisionToolsCache | $0.200 | $0.200 | 262K |
| Mistralai Ministral 14B 2512 | $0.200 | $0.200 | 262K |
| Nemotron 3 Nano 30B A3B ReasoningTools | $0.050 | $0.200 | 262K |
| Reka Flash 3 Reasoning | $0.100 | $0.200 | 66K |
| UI-TARS 7B VisionCache | $0.100 | $0.200 | 128K |
| Llama 3.2 1B Instruct | $0.027 | $0.201 | 131K |
| Hy3 preview ReasoningToolsCache | $0.063 | $0.210 | 262K |
| Nova Lite 1.0 VisionTools | $0.060 | $0.240 | 300K |
| Qwen3 14B ReasoningTools | $0.120 | $0.240 | 132K |
| Qwen3.5-Flash VisionReasoningTools | $0.065 | $0.260 | 1.0M |
| Qwen3-Coder 30B-A3B Instruct Tools | $0.070 | $0.270 | 160K |
| DeepSeek DeepSeek Chat | $0.140 | $0.280 | 66K |
| DeepSeek DeepSeek Chat V3 0324 | $0.140 | $0.280 | 66K |
| MiMo-V2.5 VisionReasoningToolsCache | $0.140 | $0.280 | 1.0M |
| Qwen3 32B ReasoningTools | $0.080 | $0.280 | 131K |
| Gemma 3 27B VisionTools | $0.100 | $0.300 | 131K |
| gpt-oss-safeguard-20b ReasoningToolsCache | $0.075 | $0.300 | 131K |
| Llama 4 Scout VisionTools | $0.100 | $0.300 | 10.0M |
| Mistral Small 3.2 24B VisionToolsCache | $0.100 | $0.300 | 131K |
| Mistralai Mistral Small 3.1 24B Instruct | $0.100 | $0.300 | 131K |
| Mistralai Mistral Small 3.2 24B Instruct | $0.100 | $0.300 | 128K |
| Qwen3 30B A3B Instruct 2507 Tools | $0.100 | $0.300 | 262K |
| Seed 1.6 Flash VisionReasoningTools | $0.075 | $0.300 | 262K |
| Step 3.5 Flash ReasoningTools | $0.100 | $0.300 | 262K |
| Voxtral Small 24B 2507 ToolsCache | $0.100 | $0.300 | 32K |
| Xiaomi Mimo V2 Flash | $0.100 | $0.300 | 262K |
| Llama 3.2 3B Instruct | $0.051 | $0.335 | 131K |
| Gemma 4 26B A4B IT VisionReasoningTools | $0.070 | $0.340 | 262K |
| DeepSeek DeepSeek V3.2 | $0.280 | $0.400 | 164K |
| DeepSeek DeepSeek V3.2 Exp | $0.200 | $0.400 | 164K |
| DeepSeek V3.2 ReasoningToolsCache | $0.269 | $0.400 | 164K |
| Gemini 2.5 Flash-Lite VisionReasoningToolsCache | $0.100 | $0.400 | 1.0M |
| GLM-4.7-Flash ReasoningTools | $0.060 | $0.400 | 200K |
| Google Gemini 2.0 Flash 001 | $0.100 | $0.400 | 1.0M |
| GPT-4.1 nano VisionToolsCache | $0.100 | $0.400 | 1.0M |
| GPT-5 Nano VisionReasoningToolsCache | $0.050 | $0.400 | 400K |
| Hermes 4 70B Reasoning | $0.130 | $0.400 | 131K |
| Laguna M.1 ReasoningToolsCache | $0.200 | $0.400 | 262K |
| Llama 3.1 70B Instruct Tools | $0.400 | $0.400 | 131K |
| Llama-3.3-70B-Instruct Tools | $0.130 | $0.400 | 131K |
| Nemotron 3 Super 120B A12B ReasoningTools | $0.085 | $0.400 | 1.0M |
| OpenAI GPT 4.1 Nano | $0.100 | $0.400 | 1.0M |
| OpenAI GPT 5 Nano | $0.050 | $0.400 | 272K |
| Qwen Qwen3.5 Flash 02.23 | $0.100 | $0.400 | 1.0M |
| Qwen2.5 72B Instruct Tools | $0.360 | $0.400 | 131K |
| Seed-2.0-Mini VisionReasoningTools | $0.100 | $0.400 | 262K |
| UnslopNemo 12B Tools | $0.400 | $0.400 | 33K |
| o1-pro VisionReasoning | $150.00 | $600.00 | 200K |
Frequently asked questions
How much does OpenRouter cost per 1M tokens?
OpenRouter pricing ranges from $0.030 to $30.00 per 1 million output tokens across 403 models. Input tokens are cheaper than output on every model. Rates current as of July 20, 2026.
What is the cheapest OpenRouter model?
Ling-2.6-flash is the cheapest OpenRouter model on both axes — $0.010 per 1M input tokens and $0.030 per 1M output. It is the right default for high-volume, low-complexity work such as classification, extraction and routing.
What is the largest OpenRouter context window?
Llama 4 Scout has the largest context window in the OpenRouter catalog at 10.0M input tokens, with up to 16K output tokens per response.
Does OpenRouter support prompt caching?
Yes. Ling-2.6-flash reads cached input at $0.0020 per 1M tokens, against $0.010 per 1M uncached. Caching pays off when a long system prompt or document is reused across many requests.
Which OpenRouter models support reasoning or vision?
The OpenRouter catalog includes 187 reasoning models, 167 vision models, 251 with tool calling. Reasoning models bill their internal thinking as output tokens, so they cost more per visible response than the headline rate suggests.
How do I calculate my actual OpenRouter bill?
Multiply your input tokens by the input rate and your output tokens by the output rate, both per million, then add retries and any conversation history resent on each turn. Calcaas does this against your real usage pattern and shows the margin left at your price point.
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What will this actually cost you?
Per-token rates only tell you half the story. Calcaas multiplies them by your real usage — prompt size, response length, retries and conversation history — then shows the margin left at your price point.
Open the free cost calculator