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2,816 models1,617 with prices34 metricsUpdated Oct 18, 2026 ↗

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deepseek-aiListed 1 day ago

DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model…

1M contextImage inputTool calling

LiveBenchEffort: max · single run · equal mean of 7 suites79.2%

$0.05in$0.60out/ 1M tokens · USDRelace · via OpenRouter · 13 endpointsrelace

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xingchen-agiListed 1 day ago

XingChen: Xing4.0 29B A4B (free)

Apache-2.0 weights with switchable thinking; supports domain fine-tuning and vLLM, SGLang or KTransformers deployment.

262.1K context29BTool callingStructured outputNo reported score

No reported score

$0.00in$0.00out/ 1M tokens · USDPhala · via OpenRouter · 2 endpointsphala

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reflectionReleased 2 days ago

Reflection: Beam 1.0 501B A23B

Apache-2.0 text model with 501B total and 23B active parameters; ships BF16, FP8 and NVFP4 weights.

1M context501BTool callingStructured output

AA IntelligenceEffort not specified30.33 LiveBenchEffort: max · single run · equal mean of 7 suites55.5%

$0.25in$1.00out/ 1M tokens · USDNebius · via OpenRouter · 5 endpointsnebius/fp8 · quantization=fp8

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moondreamListed 2 days ago

Moondream: Moondream 3 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…

32K contextImage inputReasoningNo reported score

No reported score

$0.30in$2.50out/ 1M tokens · USDPrimeIntellect · via OpenRouter · 2 endpointsprimeintellect/fp8 · quantization=fp8

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moondreamListed 2 days ago

Moondream: Moondream 3.1

Native object detection and pointing return structured coordinates; runs locally on Apple Silicon or NVIDIA GPUs.

32K context9BImage inputReasoningNo reported score

No reported score

$0.30in$2.50out/ 1M tokens · USDPrimeIntellect · via OpenRouter · 2 endpointsprimeintellect/fp8 · quantization=fp8

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nvidiaListed 2 days ago

NVIDIA: Nemotron 3.5 Super VL (free)

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

1M contextImage inputVideo inputNo reported score

No reported score

Provider degraded →

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metaReleased 3 days ago

Meta: Muse Spark Open

OpenRouter lists a 1,048,576-token context and up to 943,718 output tokens for this open-weight model aimed at agentic coding.

1M contextImage inputAudio input

AA IntelligenceEffort: xhigh · Xhigh38.87 LiveBenchEffort: max · single run · equal mean of 7 suites57.57%

$1.25in$4.25out/ 1M tokens · USDbaseten · via Hugging Face · 8 endpoints

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NVIDIAReleased 3 days ago

Nemotron 3.5 Super VL

120B/12B-active Mamba-2 hybrid with a vision encoder; native speculative decoding and switchable thinking.

1M context120BReasoningImage input

AA IntelligenceEffort not specified26.49 LiveBenchEffort: max · single run · equal mean of 7 suites51.47%

Price not listed

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liquidListed 4 days ago

LiquidAI: LFM2.5-24B-A2B

24B total, 2.45B active parameters; always reasons before answering, with GGUF and MLX releases for local deployment.

128K context24BTool callingStructured outputNo reported score

No reported score

$0.05in$0.70out/ 1M tokens · USDLiquid · via OpenRouter · 2 endpointsliquid/fp8 · quantization=fp8

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inclusionAIListed 5 days ago

Ling-3.1-flash

Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.

262.1K contextOpen weightsTool callingNo reported score

No reported score

$0.30in$0.90out/ 1M tokens · USDDeepInfra · 2 endpoints

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nvidiaListed 5 days ago

NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4

1M context120BImage inputOpen weightsNo reported score

No reported score

$0.20in$0.50out/ 1M tokens · USDbaseten · via Hugging Face

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xiaomiListed 26 days ago

Xiaomi: MiMo-V2.6-Flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention…

1.1M contextImage inputAudio inputNo reported score

No reported score

$0.10in$0.28out/ 1M tokens · USDDarkbloom · via OpenRouter · 10 endpointsdarkbloom/fp4 · quantization=fp4

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xiaomiReleased 27 days ago

Xiaomi: MiMo-V2.6-Pro

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...

1.1M contextImage inputAudio input

AA IntelligenceEffort not specified46.32 LiveBenchEffort: high · single run · equal mean of 7 suites74.87%

$0.43in$0.87out/ 1M tokens · USDDeepInfra · via OpenRouter · 6 endpointsdeepinfra/fp8 · quantization=fp8

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prism-mlListed 29 days ago

PrismML: Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary…

262.1K context27BImage inputTool callingNo reported score

No reported score

$0.075in$0.50out/ 1M tokens · USDDarkbloom · via OpenRouter · 2 endpointsdarkbloom/int4 · quantization=int4

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stepfun-aiReleased 30 days ago

Step-5-Preview

600B total and 27B active parameters; accepts images and video, with FP8 and BF16 weights for deployment.

1M contextImage inputVideo input

AA IntelligenceEffort not specified43.73 LiveBenchEffort: max · single run · equal mean of 7 suites62.01%

$1.00in$2.70out/ 1M tokens · USDDeepInfra · 6 endpoints

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nvidiaListed Sep 16

NVIDIA-Nemotron-3.5-Super-VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal model for agents that see, reason, and act. Its 120B-parameter Mixture-of-Experts design (12B active) understands text, images, documents, GUIs, and video,…

1M contextImage inputVideo inputNo reported score

No reported score

$0.10in$0.40out/ 1M tokens · USDCrusoe · via OpenRouter · 7 endpointscrusoe/bf16 · quantization=bf16

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inference-netListed Sep 12

Inference.net: Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a…

128K contextStructured outputPrompt cachingNo reported score

No reported score

$0.03in$0.15out/ 1M tokens · USDInferenceNet · via OpenRouter · 2 endpointsinference-net/bf16 · quantization=bf16

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inference-netListed Sep 12

Inference.net: Schematron V2 Small

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through…

128K contextStructured outputPrompt cachingNo reported score

No reported score

$0.05in$0.23out/ 1M tokens · USDInferenceNet · via OpenRouter · 2 endpointsinference-net/bf16 · quantization=bf16

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deepseekListed Sep 10

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

1M contextImage inputTool callingNo reported score

No reported score

$0.05in$0.15out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4

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deepseekReleased Sep 10

DeepSeek: DeepSeek V4.1 Flash

Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.

1M contextImage inputTool calling

AA IntelligenceEffort: max · Max39.46 LiveBenchEffort: max · single run · equal mean of 7 suites78.04%

$0.0648in$0.144out/ 1M tokens · USDOpenInference · via OpenRouter · 45 endpointsopen-inference/fp4 · quantization=fp4

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nex-agiListed Sep 8

Nex AGI: Nex-N2.5-Mini

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

262.1K contextImage inputStructured outputNo reported score

No reported score

$0.025in$0.10out/ 1M tokens · USDNex AGI · via OpenRouter · 2 endpointsnex-agi/bf16 · quantization=bf16

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nex-agiListed Sep 8

Nex AGI: Nex-N2.5-Pro

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

262.1K contextImage inputTool callingNo reported score

No reported score

$0.075in$0.25out/ 1M tokens · USDNex AGI · via OpenRouter · 2 endpointsnex-agi/fp8 · quantization=fp8

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inclusionAIListed Sep 4

Ling-3.0-flash-VL

The multimodal version built on Ling-3.0-flash — 124B total / ~5.5B active per token, with native text, image, and video understanding. It’s mainly designed for multimodal agentic workflows, long-context…

262.1K contextImage inputVideo inputNo reported score

No reported score

$0.06in$0.18out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints

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inclusionAIListed Sep 3

Ling-3.0-flash-Fin

262.1K contextOpen weightsTool callingNo reported score

No reported score

$0.06in$0.18out/ 1M tokens · USDdeepinfra · via Hugging Face · 2 endpoints

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