Agnes

Agnes 3.0 Flash

Agnes 3.0 Flash by Sapiens AI is a high-speed frontier reasoning model with 1.0M context window and 234 tokens/sec throughput.

#408released Sep 11, 2026·Proprietary·Not disclosed
textimage1.0M ctxreasoning
API providersRun Model →Leaderboard
Intelligence
48.2 #408
AAQI 36.0
Output Speed
235 t/s
TTFT 1.83 s · ITL 4.3 ms/tok
Blended price (3:1)
$0.03 /1M
In $0.05/M · Out $0.15/M
Context
1.0M
≈ 2,500 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Agnes 3.0 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (40)Mathematics (42)Hard Science (GPQA) (48)Agentic & Tool Use (40)Knowledge (MMLU) (42)Vision / Multimodal (45)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • 1.0M context — swallows whole repos, codebases or corpora in one pass
  • 235 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.03/1M mixed tokens
  • Cheap prompt-cache reads at $0.01/1M

Trade-offs to watch

  • Architecture and weights undisclosed — API access only

Killer Use Cases

Deep research
Synthesis across broad knowledge domains with citation-grade recall.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
Real-time agents
Low-latency loops for voice, gaming and interactive copilots.

Developer Quickstart & API

Set OPENROUTER_API_KEY first — get an API key
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "agnes/agnes-3-0-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

OpenRouter-compatible endpoint — one API for 300+ models.

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.01/1M tokens.
Release date
Sep 11, 2026
Parameters
Not disclosed
License
Proprietary
Context Window
1,000,000 tokens
Max Output
16,384 tokens
Modalities
text + image
Cache Pricing
read $0.01 · write $0.06 /1M
Reasoning
Effort levels
Input Price
$0.05/M
Output Price
$0.15/M
Output Speed
235 t/s
Time to First Token
1.83 s
Data Updated
Sep 12, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026agnes30flash,
  title = {Benchmark Analysis and Intelligence Evaluation of Agnes 3.0 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/agnes-3-0-flash}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Agnes 3.0 Flash LLMPodium Score
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