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bytedance-seedListed Aug 12

ByteDance Seed: Seed-2.0-Code

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.50in$3.00out/ 1M tokens · USDSeed · via OpenRouter · 2 endpointsseed/fp8 · quantization=fp8 · prompt ≤ 128000 tokens
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
$0.12in$8.00out/ 1M tokens · USDRelace · via OpenRouter · 30 endpointsrelace/fp4 · quantization=fp4
x-aiListed Aug 12

SpaceXAI: Grok 4.6

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by Grok 4.7.

500K contextImage inputTool callingNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDExperiential · 8 endpointsStandard list rate
liquidListed Aug 11

LiquidAI: LFM2.5-2.6B (free)

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

65.5K contextTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDLiquid · via OpenRouter · 2 endpointsliquid/fp8 · quantization=fp8
nvidiaListed Aug 11

NVIDIA: Nemotron 3.5 Lightning (free)

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

1M contextTool callingReasoningNo reported score
No reported score
sakanaListed Aug 11

Sakana: Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.95in$4.00out/ 1M tokens · USDSakana AI · via OpenRouter · 2 endpointssakana
upstageListed Aug 10

Upstage: Solar Pro 4

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity,…

524.3K contextTool callingStructured outputNo reported score
No reported score
$0.09in$0.36out/ 1M tokens · USDUpstage · via OpenRouter · 3 endpointsupstage/zdr
metaListed Aug 9

Meta: Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

131.1K context30BImage inputTool callingNo reported score
No reported score
$0.30in$1.20out/ 1M tokens · USDdeepinfra · via Hugging Face · 7 endpoints
ibm-graniteListed Aug 7

granite-4.2-8b

Granite-4.2-8B is the mid-size reasoning model in the Granite 4.2 family. It delivers strong performance on reasoning-intensive tasks by leveraging built-in ... chain-of-thought. It supports flexible…

131.1K context8BTool callingStructured outputNo reported score
No reported score
$0.06in$0.25out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints
metaListed Aug 5

Meta: Muse Spark 1.2

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....

1M contextImage inputVideo inputNo reported score
No reported score
$1.25in$4.25out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
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
$0.0151in$0.45out/ 1M tokens · USDRelace · via OpenRouter · 35 endpointsrelace/fp4 · quantization=fp4
thinkingmachinesListed Jul 30

Thinking Machines: Inkling Small (free)

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

1M contextImage inputAudio inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDThinking Machines · via OpenRouter · 2 endpointsthinkingmachines/nvfp4 · quantization=nvfp4
thinkingmachinesListed Jul 27

Inkling-Small

Inkling-Small is a Mixture-of-Experts transformer with 276B total parameters, 12B active, trained on NVIDIA GB300 NVL72 systems. Like Inkling, it features native reasoning over audio and images, variable…

524.3K contextImage inputAudio inputNo reported score
No reported score
$0.45in$1.20out/ 1M tokens · USDdeepinfra · via Hugging Face · 4 endpoints
qwenListed Jul 27

Qwen: Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial…

1M contextImage inputVideo inputNo reported score
No reported score
$0.03in$0.13out/ 1M tokens · USDAlibaba · via OpenRouter · 3 endpointsalibaba · prompt ≤ 32000 tokens
anthropicListed Jul 24

Anthropic: Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual…

1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDAmazon Bedrock · via OpenRouter · 14 endpointsamazon-bedrock
anthropicListed Jul 24

Anthropic: Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual…

1M contextImage inputTool callingNo reported score
No reported score
$2.50in$12.50out/ 1M tokens · USDAnthropic · via OpenRouter · 2 endpointsanthropic
inclusionaiListed Jul 23

inclusionAI: Ling 3.0 Flash

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic…

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.021in$0.063out/ 1M tokens · USDNovita · via OpenRouter · 6 endpointsnovita
poolsideListed Jul 21

Poolside: Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

1M contextTool callingReasoningNo reported score
No reported score
$0.09in$0.18out/ 1M tokens · USDPoolside · via OpenRouter · 2 endpointspoolside/fp4 · quantization=fp4
poolsideListed Jul 21

Poolside: Laguna S 2.1 (free)

Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

262.1K contextTool callingReasoningNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDPoolside · via OpenRouter · 2 endpointspoolside/fp4 · quantization=fp4