Intelligence
N/A
44
General reasoning and benchmark headroom.
SituationalAuto Router is a budget multimodal generalist from openrouter with a heavy runtime profile, large context posture, and the clearest fit around long-context research / multimodal.
Benchmark blend
Dev workflow signal
Large
Budget tier
Auto Router currently reads as a budget multimodal option with large context and a heavy runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
SituationalLatency data is partial.
SituationalHow much prompt and task state can stay in view.
Above average$-1000000.00 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our [docs](/docs/guides/routing/routers/auto-router). Requests will be routed to the following models: - [anthropic/claude-haiku-4.5](/anthropic/claude-haiku-4.5) - [anthropic/claude-opus-4.6](/anthropic/claude-opus-4.6) - [anthropic/claude-sonnet-4.5](/anthropic/claude-sonnet-4.5) - [anthropic/claude-sonnet-4.6](/anthropic/claude-sonnet-4.6) - [deepseek/deepseek-r1](/deepseek/deepseek-r1) - [google/gemini-2.5-flash-lite](/google/gemini-2.5-flash-lite) - [google/gemini-3-flash-preview](/google/gemini-3-flash-preview) - [google/gemini-3-pro-preview](/google/gemini-3-pro-preview) - [google/gemini-3.1-pro-preview](/google/gemini-3.1-pro-preview) - [meta-llama/llama-3.3-70b-instruct](/meta-llama/llama-3.3-70b-instruct) - [minimax/minimax-m2.5](/minimax/minimax-m2.5) - [mistralai/codestral-2508](/mistralai/codestral-2508) - [mistralai/mistral-large](/mistralai/mistral-large) - [mistralai/mistral-medium-3.1](/mistralai/mistral-medium-3.1) - [mistralai/mistral-small-3.2-24b-instruct-2506](/mistralai/mistral-small-3.2-24b-instruct-2506) - [moonshotai/kimi-k2-thinking](/moonshotai/kimi-k2-thinking) - [moonshotai/kimi-k2.5](/moonshotai/kimi-k2.5) - [openai/gpt-5](/openai/gpt-5) - [openai/gpt-5-mini](/openai/gpt-5-mini) - [openai/gpt-5-nano](/openai/gpt-5-nano) - [openai/gpt-5.1](/openai/gpt-5.1) - [openai/gpt-5.2](/openai/gpt-5.2) - [openai/gpt-5.2-pro](/openai/gpt-5.2-pro) - [openai/gpt-oss-120b](/openai/gpt-oss-120b) - [perplexity/sonar](/perplexity/sonar) - [qwen/qwen3-235b-a22b](/qwen/qwen3-235b-a22b) - [x-ai/grok-3](/x-ai/grok-3) - [x-ai/grok-3-mini](/x-ai/grok-3-mini) - [x-ai/grok-4](/x-ai/grok-4) - [z-ai/glm-5](/z-ai/glm-5)
openrouter multimodal profile
Long-context research / Multimodal with large context and heavy runtime.
Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.
Large context headroom supports repo-wide prompts and long research sessions.
Vision-capable routing opens up multimodal review and extraction workflows.
Budget-friendly input pricing is a strength, but raw capability may vary by workload.
Latency profile is better for deliberate runs than rapid back-and-forth chat.
Image-grounded review, multimodal extraction, and UI audit workflows.
Long-context summarization, repo analysis, and policy or document review.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.