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Showing 15 of 464 models
OpenAI: GPT-6.1 Terra Pro
openai/gpt-6.1-terra-pro
GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://tokenroute.app/models), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
OpenAI: GPT-6.1 Terra Pro (batch)
openai/gpt-6.1-terra-pro:batch
GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://tokenroute.app/models), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
OpenAI: GPT-6.1 Terra
openai/gpt-6.1-terra
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
OpenAI: GPT-6.1 Terra (batch)
openai/gpt-6.1-terra:batch
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
MoonshotAI: Kimi K3.1 Pro
moonshotai/kimi-k3.1-pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...
Recursive: Flint (free)
recursive/flint-v1.0:free
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...
MiniMax: MiniMax M3.1 Flash
minimax/minimax-m3.1-flash
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
DeepSeek: DeepSeek V4.1 Flash 1017
deepseek/deepseek-v4.1-flash-1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Elorian: Glimpse
elorian/glimpse
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
XingChen: Xing4.0 29B A4B (free)
xingchen-agi/xing4.0-29b-a4b:free
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Reflection: Beam 1.0 501B A23B
reflection/beam-1.0-501b-a23b
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Inception: Mercury 3
inception/mercury-3
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Moondream: Moondream 3 Preview
moondream/moondream3-preview
Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and visual reasoning over images, with...
Moondream: Moondream 3.1
moondream/moondream3.1-9b-a2b
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...
Meta: Muse Spark Open
meta/muse-spark-open
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...
Every model TokenRouteserves, grouped by provider. Each page lists that model's price per million tokens, context length and supported modalities.