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mistralaiListed Dec 2

Mistral: Ministral 3 8B 2512

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.15in$0.15out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
mistralaiListed Dec 2

Mistral: Ministral 3 8B 2512 (batch)

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.075in$0.075out/ 1M tokens · USDMistral · via OpenRouter · 2 endpointsmistral
mistralaiListed Dec 2

Mistral: Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

131.1K context3BImage inputTool callingNo reported score
No reported score
$0.10in$0.10out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
deepseek-aiListed Dec 1

DeepSeek-V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.2088in$0.3096out/ 1M tokens · USDGMICloud · via OpenRouter · 16 endpointsgmicloud/fp8 · quantization=fp8
moonshotaiListed Nov 6

MoonshotAI: Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE)…

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.60in$2.50out/ 1M tokens · USDExperiential · 4 endpointsStandard list rate
minimaxListed Oct 23

MiniMax: MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.255in$1.02out/ 1M tokens · USDMinimax · via OpenRouter · 3 endpointsminimax/fp8 · quantization=fp8
ibm-graniteListed Oct 20

IBM: Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...

131K contextStructured outputOpen weightsNo reported score
No reported score
$0.017in$0.112out/ 1M tokens · USDCloudflare · via OpenRouter · 2 endpointscloudflare
qwenListed Oct 14

Qwen: Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal…

262.1K context8BImage inputTool callingNo reported score
No reported score
$0.25in$0.75out/ 1M tokens · USDParasail · via OpenRouter · 2 endpointsparasail/bf16 · quantization=bf16
qwenListed Oct 6

Qwen: Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks.…

262.1K context30BImage inputTool callingNo reported score
No reported score
$0.29in$1.00out/ 1M tokens · USDSiliconFlow · via OpenRouter · 2 endpointssiliconflow/fp8 · quantization=fp8
QwenListed Sep 30

Qwen3-VL-30B-A3B-Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual…

262.1K context30BImage inputTool callingNo reported score
No reported score
$0.15in$0.60out/ 1M tokens · USDdeepinfra · via Hugging Face · 8 endpoints
zai-orgListed Sep 29

GLM-4.6

Compared with GLM-4.5, GLM-4.6 brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.40in$1.60out/ 1M tokens · USDDeepInfra · via OpenRouter · 11 endpointsdeepinfra/fp4/flex · tier=flex · quantization=fp4
deepseekListed Sep 29

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.27in$0.41out/ 1M tokens · USDExperiential · 3 endpointsStandard list rate
zai-orgListed Sep 29

GLM-4.6-FP8

Open weightsTool callingNo reported score
No reported score
Price not listed
thedrummerListed Sep 27

TheDrummer: Cydonia 24B V4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

131.1K context24BStructured outputPrompt cachingNo reported score
No reported score
$0.30in$0.50out/ 1M tokens · USDParasail · via OpenRouter · 2 endpointsparasail/bf16 · quantization=bf16
deepseekListed Sep 22

DeepSeek: DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities,…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.27in$0.95out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints
QwenListed Sep 22

Qwen3-VL-235B-A22B-Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual…

262.1K context235BImage inputTool callingNo reported score
No reported score
$0.20in$0.88out/ 1M tokens · USDdeepinfra · via Hugging Face · 6 endpoints
openaiListed Sep 18

OpenAI: gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content…

131.1K context20BTool callingStructured outputNo reported score
No reported score
$0.07in$0.20out/ 1M tokens · USDExperiential · 4 endpointsStandard list rate