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nvidiaListed Jun 3

NVIDIA: Nemotron 3 Ultra

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts…

262.1K context550BTool callingStructured outputNo reported score
No reported score
$0.40in$1.76out/ 1M tokens · USDDeepInfra · via OpenRouter · 7 endpointsdeepinfra/fp4/flex · tier=flex · quantization=fp4
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-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as…

1.1M contextTool callingStructured outputNo reported score
No reported score
$0.3045in$0.609out/ 1M tokens · USDGMICloud · via OpenRouter · 9 endpointsgmicloud/bf16 · quantization=bf16
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
deepseek-aiListed Apr 22

DeepSeek-V4-Pro

DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on…

1M contextTool callingStructured outputNo reported score
No reported score
$0.1775in$0.3549out/ 1M tokens · USDBaidu · via OpenRouter · 22 endpointsbaidu/fp8 · quantization=fp8
deepseek-aiListed Apr 22

DeepSeek-V4-Flash

DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up…

1M contextTool callingStructured outputNo reported score
No reported score
$0.0134in$0.45out/ 1M tokens · USDRelace · via OpenRouter · 21 endpointsrelace/fp4 · quantization=fp4
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
moonshotaiListed Apr 14

MoonshotAI: Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.4323in$1.82out/ 1M tokens · USDBaidu · via OpenRouter · 23 endpointsbaidu/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
z-aiListed Apr 3

Z.ai: GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.9646in$3.0316out/ 1M tokens · USDBaidu · via OpenRouter · 17 endpointsbaidu/fp8 · quantization=fp8
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
minimaxListed Mar 18

MiniMax: MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.21in$0.84out/ 1M tokens · USDGMICloud · via OpenRouter · 10 endpointsgmicloud/fp8 · quantization=fp8
mistralaiListed Mar 16

Mistral: Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

262.1K contextImage inputTool callingNo reported score
No reported score
$0.15in$0.60out/ 1M tokens · USDMistral · via OpenRouter · 5 endpointsmistral/zdr
mistralaiListed Mar 16

Mistral: Mistral Small 4 (batch)

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

262.1K contextImage inputTool callingNo reported score
No reported score
$0.075in$0.30out/ 1M tokens · USDMistral · via OpenRouter · 2 endpointsmistral
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
nvidiaListed Mar 11

NVIDIA: Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid…

262.1K context120BTool callingStructured outputNo reported score
No reported score
$0.08in$0.45out/ 1M tokens · USDDekaLLM · via OpenRouter · 4 endpointsdekallm/fp8 · quantization=fp8