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2,849 models1,625 with prices34 metricsUpdated Oct 22, 2026 ↗

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recursiveListed Today

Recursive: Flint (free)

Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDRecursive · via OpenRouter · 2 endpointsrecursive/bf16 · quantization=bf16
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minimaxListed 3 days ago

MiniMax: MiniMax M3.1 Flash (free)

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It…

1M contextImage inputVideo inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDMinimax · via OpenRouter · 2 endpointsminimax
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elorianListed 5 days ago

Elorian: Glimpse

Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.60in$3.00out/ 1M tokens · USDTogether · via OpenRouter · 2 endpointstogether
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deepseek-aiReleased 5 days ago

DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model…

1M contextImage inputTool calling
AA IntelligenceEffort: max · Max45.1LiveBenchEffort: max · single run · equal mean of 7 suites79.2%
$0.07in$0.50out/ 1M tokens · USDOpenInference · via OpenRouter · 33 endpointsopen-inference/fp4 · quantization=fp4
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xingchen-agiListed 5 days ago

XingChen: Xing4.0 29B A4B (free)

Apache-2.0 weights with switchable thinking; supports domain fine-tuning and vLLM, SGLang or KTransformers deployment.

262.1K context29BTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDPhala · via OpenRouter · 2 endpointsphala
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inceptionListed 5 days ago

Inception: Mercury 3

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

1M contextTool callingStructured outputNo reported score
No reported score
$0.10in$0.35out/ 1M tokens · USDInception · via OpenRouter · 2 endpointsinception
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unbiasedListed 6 days ago

Pareto 26.10

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

1M contextImage inputTool callingNo reported score
No reported score
$0.80in$3.20out/ 1M tokens · USDUnbiased · via OpenRouter · 2 endpointsunbiased
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unbiasedListed 8 days ago

Pareto Latest

This model always redirects to the latest model in the Pareto family.

1M contextImage inputTool callingNo reported score
No reported score
$0.80in$3.20out/ 1M tokens · USDOpenRouter
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unbiasedListed 8 days ago

Pareto 26.9

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

262.1K contextImage inputTool callingNo reported score
No reported score
$2.50in$7.50out/ 1M tokens · USDUnbiased · via OpenRouter · 2 endpointsunbiased
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liquidListed 8 days ago

LiquidAI: LFM2.5-24B-A2B

24B total, 2.45B active parameters; always reasons before answering, with GGUF and MLX releases for local deployment.

128K context24BTool callingStructured outputNo reported score
No reported score
$0.05in$0.70out/ 1M tokens · USDLiquid · via OpenRouter · 2 endpointsliquid/fp8 · quantization=fp8
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googleListed 8 days ago

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep…

1M contextImage inputAudio inputNo reported score
No reported score
$1.00in$5.00out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
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inclusionAIListed 9 days ago

Ling-3.1-flash

Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.

262.1K contextOpen weightsTool callingNo reported score
No reported score
$0.30in$0.90out/ 1M tokens · USDDeepInfra · 2 endpoints
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anthropicListed 14 days ago

Anthropic: Claude Haiku 5.5

Adds adjustable effort to the Haiku tier for compaction, browser tasks and narrowly scoped subagents.

1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.50out/ 1M tokens · USDAmazon Bedrock · via OpenRouter · 12 endpointsamazon-bedrock · prompt ≤ 100000 tokens
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anthropicListed 14 days ago

Anthropic: Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

1M contextImage inputTool callingNo reported score
No reported score
$0.05in$0.25out/ 1M tokens · USDAnthropic · via OpenRouter · 2 endpointsanthropic · prompt ≤ 100000 tokens
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mistralaiListed 15 days ago

Mistral: Mistral Large 4

Open-weight public preview with document Q&A, function calls and JSON schemas; works with Mistral agent APIs.

1M contextImage inputTool callingNo reported score
No reported score
$1.36in$4.18out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr
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inclusionaiListed 19 days ago

inclusionAI: Ling 3.1 Flash

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.075in$0.225out/ 1M tokens · USDDeepInfra · via OpenRouter · 3 endpointsdeepinfra/fp4 · quantization=fp4
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openaiListed 22 days ago

OpenAI: GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, 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
$1.00in$5.00out/ 1M tokens · USDOpenAI · via OpenRouter · 8 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
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openaiListed 22 days ago

OpenAI: GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, 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
$1.00in$5.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
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openaiListed 22 days ago

OpenAI: GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$5.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
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