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deepseek-aiListed Aug 12

DeepSeek-V4-Pro-0813

DeepSeek-V4-Pro-0813 is the official release of DeepSeek-V4-Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in…

1M contextTool callingStructured outputNo reported score
No reported score
$1.32in$3.96out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
deepseek-aiListed Jul 31

DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro…

1M contextTool callingStructured outputNo reported score
No reported score
$0.14in$0.28out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
zai-orgListed Jun 16

GLM-5.2

GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…

1M contextTool callingStructured outputNo reported score
No reported score
$1.40in$4.40out/ 1M tokens · USDParasail · via OpenRouterparasail/fp4 · quantization=fp4
minimaxListed May 31

MiniMax: MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

1M contextImage inputVideo inputNo reported score
No reported score
$0.30in$1.20out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
deepseek-aiListed Apr 22

DeepSeek-V4-Pro

DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on…

1M contextTool callingStructured outputNo reported score
No reported score
deepseek-aiListed Apr 22

DeepSeek-V4-Flash

DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up…

1M contextTool callingStructured outputNo reported score
No reported score
$0.14in$0.28out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
QwenListed Apr 15

Qwen3.6-35B-A3B

Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared). Built on direct feedback from the…

262.1K context35BImage inputVideo inputNo reported score
No reported score
$0.15in$1.00out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
moonshotaiListed Apr 14

MoonshotAI: Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.75in$3.50out/ 1M tokens · USDParasail · via OpenRouterparasail/int4 · quantization=int4
googleListed Mar 11

Google: Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.13in$0.40out/ 1M tokens · USDParasail · via OpenRouterparasail/bf16 · quantization=bf16
QwenListed Feb 27

Qwen3.5-9B

Qwen3.5-9B is a high-performance model from Alibaba's Qwen3.5 series with a hybrid Gated Delta Networks and sparse MoE architecture. It features a 262K token context window, thinking/reasoning mode, tool…

262.1K context9BImage inputVideo inputNo reported score
No reported score
$0.10in$0.25out/ 1M tokens · USDParasail · via OpenRouterparasail/bf16 · quantization=bf16
QwenListed Feb 24

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B is an efficient Mixture-of-Experts model from Alibaba's Qwen3.5 series with 35B total parameters and only 3B activated per token. It features a 262K token context window (extensible to 1M…

262.1K context35BImage inputVideo inputNo reported score
No reported score
$0.15in$1.00out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
QwenListed Feb 16

Qwen3.5-397B-A17B

Qwen3.5-397B-A17B is Alibaba's most capable Qwen3.5 model, a Mixture-of-Experts architecture with 397B total parameters and 17B activated per token. It features a 262K token context window (extensible to 1M…

262.1K context397BImage inputVideo inputNo reported score
No reported score
$0.50in$3.60out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
qwenListed Feb 4

Qwen: Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.12in$0.80out/ 1M tokens · USDParasail · via OpenRouterparasail/bf16 · quantization=bf16
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 OpenRouterparasail/bf16 · quantization=bf16
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 OpenRouterparasail/bf16 · quantization=bf16
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
$0.21in$1.90out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
QwenListed Sep 9

Qwen3-Next-80B-A3B-Instruct

Over the past few months, we have observed increasingly clear trends toward scaling both total parameters and context lengths in the pursuit of more powerful and agentic artificial intelligence (AI). We are…

262.1K context80BTool callingStructured outputNo reported score
No reported score
$0.10in$1.10out/ 1M tokens · USDParasail · via OpenRouterparasail/fp8 · quantization=fp8
openaiListed Aug 4

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for…

131.1K context20BTool callingStructured outputNo reported score
No reported score
$0.03in$0.15out/ 1M tokens · USDParasail · via OpenRouterparasail/fp4 · quantization=fp4