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2,821 models1,617 with prices34 metricsUpdated Oct 19, 2026 ↗

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576 models · Tool calling · newest firstPage 3 / 24

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x-aiListed 28 days ago

SpaceXAI: Grok 4.7

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...

500K contextImage inputTool callingNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDExperiential · 7 endpointsStandard · fewer than 200,000 input tokens
xiaomiListed 28 days ago

Xiaomi: MiMo-V2.6-Flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention…

1.1M contextImage inputAudio inputNo reported score
No reported score
$0.10in$0.28out/ 1M tokens · USDDarkbloom · via OpenRouter · 10 endpointsdarkbloom/fp4 · quantization=fp4
qwenListed 28 days ago

Qwen: Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and…

1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$0.47out/ 1M tokens · USDAlibaba · via OpenRouter · 2 endpointsalibaba
prism-mlListed Sep 18

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 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
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
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
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