Independent

Apodex 1.1Open

Specialized open-weight coding and reasoning model based on optimized architecture.

#765released Jul 20, 2026·Open Weights·72B
text128K ctx
API providersRun Model →Leaderboard
Intelligence
0.0 #765
Top 100% tier
Output Speed
145 t/s
ITL 6.9 ms/tok
Blended price (3:1)
$0.35 /1M
In $0.2/M · Out $0.8/M
Context
128K
≈ 328 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Apodex 1.1
Claude Mythos Preview (#1)
Average (68)
Coding (63)Mathematics (61)Hard Science (GPQA) (62)Agentic & Tool Use (63)Knowledge (MMLU) (65)Vision / Multimodal (25)

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

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 145 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.35/1M mixed tokens
  • Cheap prompt-cache reads at $0.02/1M

Killer Use Cases

SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.

Developer Quickstart & API

Set HF_TOKEN first — get an API key
curl https://router.huggingface.co/v1/chat/completions \
  -H "Authorization: Bearer $HF_TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "model": "apodex-1-1",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

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

Category Scores

Benchmark Results

Live Specs & Architecture

Under the hood
Dense · 72B
  • Prompt caching supported — cached input reads at $0.02/1M tokens.
Release date
Jul 20, 2026
Architecture
Dense · 72B
Parameters
72B
License
Open Weights
Context Window
131,072 tokens
Max Output
16,384 tokens
Modalities
text
Cache Pricing
read $0.02 · write $0.25 /1M
Reasoning
—
Input Price
$0.2/M
Output Price
$0.8/M
Output Speed
145 t/s
Time to First Token
—
Data Updated
Oct 26, 2026

Estimated monthly bill

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

Cite & embed

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BibTeX
@misc{llmpodium2026apodex11,
  title = {Benchmark Analysis and Intelligence Evaluation of Apodex 1.1},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/apodex-1-1}
}

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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Apodex 1.1 LLMPodium Score
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