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prism-mlListed 30 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
z-aiListed 30 days ago

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
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
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
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