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z-aiListed Sep 18

Z.ai: GLM 5.3 FlashX

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention…

1M contextImage inputVideo inputNo reported score
No reported score
$0.37in$1.25out/ 1M tokens · USDZ.AI · via OpenRouter · 2 endpointsz-ai/fp8 · quantization=fp8
typesafeListed Sep 18

TypeSafe: Jev 1.13

Jev is a structured decision model from TypeSafe, and the first of its System One models. System One models make fast, structured decisions for software, returning a typed choice rather...

262.1K contextImage inputNo reported score
No reported score
$0.042in$0.00out/ 1M tokens · USDOpenRouter
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 · 8 endpointscrusoe/bf16 · quantization=bf16
fal-aiListed Sep 14

ID-V2V

Restyle a video’s scene, lighting, and visual style from edited keyframes while preserving the source subjects’ identity, expressions, gaze, and motion. Developed by Eyeline Labs and Netflix researchers.

No reported score
No reported score
Listed from $0.20/ second · USDfal
fal-aiListed Sep 14

ID-V2V Relight

Change a video’s lighting using a relit reference frame while preserving the scene, subjects, and original performance. ID-V2V Relight propagates the new illumination across the video.

No reported score
No reported score
Listed from $0.20/ second · USDfal
QwenListed Sep 14

Qwen3.8-Flash

Qwen's fast, low-cost model with a one-million-token context window, billed at a flat rate across the entire window.

1M contextNo reported score
No reported score
$0.113in$0.382out/ 1M tokens · USDDeepInfra · 2 endpoints
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
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
metaListed Sep 11

Meta: Muse Voice Transcribe 1.0

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language…

Audio inputNo reported score
No reported score
$50.00in$0.00out/ 1M tokens · USDOpenRouter
openaiListed Sep 11

OpenAI: GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

1.1M contextImage inputTool callingNo reported score
No reported score
$2.00in$10.00out/ 1M tokens · USDOpenRouter
openaiListed Sep 11

OpenAI: GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.50out/ 1M tokens · USDOpenRouter
sakanaListed Sep 11

Sakana: Fugu Ultra v2

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...

1M contextImage inputTool callingNo reported score
No reported score
$5.00in$30.00out/ 1M tokens · USDSakana AI · via OpenRouter · 2 endpointssakana · prompt ≤ 272000 tokens
sakanaListed Sep 11

Sakana: Fugu Max

Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

1M contextImage inputTool callingNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDSakana AI · via OpenRouter · 2 endpointssakana
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
inceptionListed Sep 8

Inception: Mercury 2.5

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel,…

260K contextTool callingStructured outputNo reported score
No reported score
$0.04in$0.15out/ 1M tokens · USDInception · via OpenRouter · 2 endpointsinception