subagent38i2z1

subagent

Find the right AI model for any task.

curl -fsSL https://models.developersdigest.tech/install.sh | sh

paste this in terminal, or browse the leaderboard

Works with

OpenAIOpenAI
AnthropicAnthropic
GoogleGoogle
MetaMeta
MistralMistral
PerplexityPerplexity

One command for any task

subagent classifies your task and picks the best model automatically.

Research

Deep web research, multi-source synthesis

subagent build "find 10 series A startups in philly"

Coding

Code generation, debugging, refactoring

subagent build "write a Redis caching layer in Go"

Writing

Blog posts, emails, marketing copy

subagent build "draft a launch announcement email"

Extraction

Parse documents, extract structured data

subagent build "extract contacts from this PDF"

Reasoning

Math, logic, complex multi-step problems

subagent build "prove this algorithm is O(n log n)"

Realtime

Chat, autocomplete, low-latency tasks

subagent build "autocomplete search suggestions"

Total Models

346

via OpenRouter

Providers

57

29 free models

Avg Price

$5.10

per million tokens

Intelligence Leaderboard

Source: Artificial Analysis
#ModelProviderIntelligencePrice / 1MContextModality
1Google: Gemini 3.1 Pro Previewgoogle
57
$7.001.0Maudio, file, image, text, video
2Anthropic: Claude Opus 4.6anthropic
46
$15.001.0Mtext, image
3Anthropic: Claude Sonnet 4.6anthropic
44
$9.001.0Mtext, image
4MiniMax: MiniMax M2.5minimax
42
$0.75197Ktext
5xAI: Grok 4x-ai
42
$9.00256Kimage, text
6Z.ai: GLM 5z-ai
41
$1.68203Ktext
7Qwen: Qwen3.5 397B A17Bqwen
40
$1.36262Ktext, image, video
8Qwen: Qwen3 Max Thinkingqwen
40
$2.34262Ktext
9StepFun: Step 3.5 Flash (free)stepfun
38
Free256Ktext
10StepFun: Step 3.5 Flashstepfun
38
$0.20256Ktext
11OpenAI: o3openai
38
$5.00200Kimage, text, file
12Qwen: Qwen3.5-27Bqwen
37
$0.88262Ktext, image, video
13MoonshotAI: Kimi K2.5moonshotai
37
$1.33262Ktext, image
14Qwen: Qwen3.5-122B-A10Bqwen
36
$1.17262Ktext, image, video
15Kwaipilot: KAT-Coder-Pro V1kwaipilot
36
$0.52256Ktext
16Google: Gemini 2.5 Progoogle
35
$5.631.0Mtext, image, file, audio, video
17Google: Gemini 3.1 Flash Lite Previewgoogle
34
$0.881.0Mtext, image, video, file, audio
18OpenAI: GPT-5.2openai
34
$7.88400Kfile, image, text
19DeepSeek: DeepSeek V3.2 Specialedeepseek
34
$0.80164Ktext
20Inception: Mercury 2inception
33
$0.50128Ktext

State of the Art

Fastest

1Mercury 2
627 tok/s
2Granite 4.0 H Small
372 tok/s
3Gemini 2.5 Flash-Lite (Sep)
337 tok/s

Best Value

1Qwen3.5 9B
290.9 pts/$
2MiMo-V2-Flash (Feb 2026)
273.3 pts/$
3gpt-oss-20B (high)
266.7 pts/$

Cheapest

1Gemma 3n E4B
$0.03/M
2LFM2 24B A2B
$0.05/M
3Nova Micro
$0.06/M

Lowest Latency

1Ministral 3 3B
0.4s
2LFM2 24B A2B
0.5s
3Ministral 3 8B
0.5s

API Reference

All endpoints return JSON. No auth required.

All models with benchmarks, sorted by intelligenceGET
curl "https://models.developersdigest.tech/api/openrouter?benchmarks=true&sort=intelligence&limit=10"

# Response: { count, total, hash, models: [{ id, name, creator, intelligence, blendedPrice, contextLength, ... }] }
Filter by provider and priceGET
curl "https://models.developersdigest.tech/api/openrouter?creator=openai&max_price=5&sort=value"

# Params: creator, modality, max_price, min_context, sort (intelligence|price|context|newest|value), limit, benchmarks
Task-based recommendationsGET
curl "https://models.developersdigest.tech/api/recommend?task=find+10+series+A+startups+in+philadelphia"

# Response: { task, classification, weights, tools, recommendations: [{ name, composite, qualityScore, ... }] }
SOTA rankingsGET
curl "https://models.developersdigest.tech/api/sota"

# Response: { byIntelligence, bySpeed, byValue, cheapest, lowestLatency }
Model changelog (new/removed models)GET
curl "https://models.developersdigest.tech/api/changes"

# Response: { changes: [{ added: [...], removed: [...], timestamp }] }
# Synced daily via Vercel cron at 8am UTC

CLI

Install
curl -fsSL https://models.developersdigest.tech/install.sh | sh

subagent scrape              # fetch latest model data
subagent build "your task"   # get model recommendations
subagent harness             # detect available runtimes
subagent bench "your task"   # benchmark across runtimes