murekaListed Sep 15
Mureka 9.5 Podcast Generation
Generates podcast audio from an ordered sequence of conversation turns, with text and a voice selection for each turn.
No reported score
No reported score
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murekaListed Sep 15
Mureka 9.5 Lyrics Generation
Writes song lyrics and a title from a text prompt describing a topic, theme, or song concept.
No reported score
No reported score
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
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
deepseekListed Sep 14
DeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family.
1M contextTool callingStructured outputNo reported score
No reported score
deepseekListed Sep 14
DeepSeek: DeepSeek Flash Latest
This model always redirects to the latest model in the DeepSeek Flash family.
1M contextImage inputTool callingNo reported score
No reported score
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
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
openaiListed Sep 11
OpenAI: GPT Astra Latest
This model always redirects to the latest model in the GPT Astra family.
1.1M contextImage inputTool callingNo reported score
No reported score
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
openaiListed Sep 11
OpenAI: GPT Terra Latest
This model always redirects to the latest model in the GPT Terra family.
1.1M contextImage inputTool callingNo reported score
No reported score
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
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
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
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
$0.0464in$0.08out/ 1M tokens · USDOpenInference · via OpenRouter · 45 endpointsopen-inference/fp4 · quantization=fp4
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
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
briaListed Sep 7
Bria Increase Resolution: Upscale Images up to 4x Without Losing Detail | fal
Upscale any image 2x or 4x, up to 8192×8192, with Bria Increase Resolution. Preserves the original content — no regeneration, no altered details. Commercial-safe
No reported score
No reported score
openaiListed Sep 4
OpenAI: GPT-6 Astra (batch)
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular…
1.1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Sep 4
OpenAI: GPT-6 Astra Pro
GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDOpenAI · via OpenRouter · 7 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Sep 4
OpenAI: GPT-6 Astra Pro (batch)
GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
1.1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens