Agnes

Agnes 2.5 Pro Beta

Agnes 2.5 Pro Beta frontier model with improved reasoning, speed and instruction following.

#428released Feb 15, 2025·Proprietary·Not disclosed
text131K ctx
API providersRun Model →Leaderboard
Intelligence
42.5 #428
AAQI 46.5
Output Speed
65 t/s
TTFT 320 ms · ITL 15.4 ms/tok
Blended price (3:1)
$1.5 /1M
In $1/M · Out $3/M
Context
131K
≈ 328 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Agnes 2.5 Pro Beta
Claude Mythos Preview (#1)
Average (68)
Coding (38)Mathematics (38.5)Hard Science (GPQA) (41.5)Agentic & Tool Use (37)Knowledge (MMLU) (48)Vision / Multimodal (25)

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

Strengths & Trade-offs

Where it wins

  • Sub-400ms time-to-first-token
  • Cheap prompt-cache reads at $0.1/1M

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.
High-volume batch jobs
Classification, extraction and summarization at minimal cost per call.

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-2-5-pro-beta",
    "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
  • Prompt caching supported — cached input reads at $0.1/1M tokens.
Release date
Feb 15, 2025
Parameters
Not disclosed
License
Proprietary
Context Window
131,000 tokens
Max Output
8,192 tokens
Modalities
text
Cache Pricing
read $0.1 · write $1.25 /1M
Reasoning
—
Input Price
$1/M
Output Price
$3/M
Output Speed
65 t/s
Time to First Token
320 ms
Data Updated
Aug 28, 2026

Estimated monthly bill

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

Cite & embed

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BibTeX
@misc{llmpodium2026agnes25probeta,
  title = {Benchmark Analysis and Intelligence Evaluation of Agnes 2.5 Pro Beta},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/agnes-2-5-pro-beta}
}

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 2.5 Pro Beta LLMPodium Score
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