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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
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
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
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
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
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
qwenListed Sep 3

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

1M contextImage inputVideo inputNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDAlibaba · via OpenRouter · 3 endpointsalibaba/us-east-1