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cloudflareListed 8 days ago

Cloudflare: Clef Omni

Scores typed questions over images, audio and video in one pass; can hear video soundtracks while inspecting sampled frames.

65.5K contextImage inputAudio inputNo reported score
No reported score
$0.15in$0.00out/ 1M tokens · USDOpenRouter
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
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 · USDDeepInfra · 7 endpoints
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
z-aiListed Aug 26

Z.ai: GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…

1M contextImage inputVideo inputNo reported score
No reported score
$0.05in$0.18out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4
QwenReleased Aug 14

Qwen3.8-27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking…

1M context27BImage inputVideo input
$0.02in$0.50out/ 1M tokens · USDTenstorrent · via OpenRouter · 28 endpointstenstorrent/fp4 · quantization=fp4
moonshotaiListed Jul 16

MoonshotAI: Kimi K3 (batch)

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

1M contextImage inputVideo inputNo reported score
No reported score
$2.28in$11.40out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
minimaxListed May 31

MiniMax: MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

1M contextImage inputVideo inputNo reported score
No reported score
$0.224in$0.88out/ 1M tokens · USDDeepInfra · via OpenRouter · 15 endpointsdeepinfra/fp8/flex · tier=flex · quantization=fp8
stepfunListed May 23

StepFun: Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating…

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.20in$1.15out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints
xiaomiListed Apr 22

Xiaomi: MiMo-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video…

1.1M contextImage inputAudio inputNo reported score
No reported score
$0.14in$0.28out/ 1M tokens · USDdeepinfra · via Hugging Face · 9 endpoints
qwenListed Apr 21

Qwen: Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

262.1K context27BImage inputVideo inputNo reported score
No reported score
$0.25in$2.00out/ 1M tokens · USDChutes · via OpenRouter · 12 endpointschutes/fp8 · quantization=fp8
QwenListed Apr 15

Qwen3.6-35B-A3B

Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared). Built on direct feedback from the…

262.1K context35BImage inputVideo inputNo reported score
No reported score
$0.05in$0.70out/ 1M tokens · USDDarkbloom · via OpenRouter · 15 endpointsdarkbloom/fp4 · quantization=fp4
googleListed Apr 3

Google: Gemma 4 26B A4B (free)

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 2 endpointsgoogle-ai-studio
googleListed Apr 2

Google: Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native…

262.1K context31BImage inputVideo inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 2 endpointsgoogle-ai-studio
rekaaiListed Mar 20

Reka Edge

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading…

16.4K contextImage inputVideo inputNo reported score
No reported score
$0.10in$0.10out/ 1M tokens · USDReka · via OpenRouter · 2 endpointsreka
googleListed Mar 11

Google: Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.042in$0.22out/ 1M tokens · USDDarkbloom · via OpenRouter · 19 endpointsdarkbloom
QwenListed Feb 27

Qwen3.5-9B

Qwen3.5-9B is a high-performance model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It features a 262K token context window, thinking/reasoning mode, tool…

262.1K context9BImage inputVideo inputNo reported score
No reported score
$0.08in$0.13out/ 1M tokens · USDDarkbloom · via OpenRouter · 12 endpointsdarkbloom/fp4 · quantization=fp4