Independent

Simba 3.2

Frontier reasoning model tuned for agentic tool use and long-horizon task execution.

#31released Oct 5, 2026·Proprietary·Not disclosed
text262K ctxreasoning
Intelligence
87.8 #31
AAQI 62.0
Output Speed
62 t/s
ITL 16.1 ms/tok
Blended price (3:1)
$6.5 /1M
In $2/M · Out $10/M
Context
262K
≈ 655 A4 pages · max out 32,768

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Simba 3.2
Claude Mythos Preview (#1)
Average (68)
Coding (62)Mathematics (84)Hard Science (GPQA) (88)Agentic & Tool Use (70)Knowledge (MMLU) (50)Vision / Multimodal (55)

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

Strengths & Trade-offs

Where it wins

  • Strong reasoning-per-dollar vs. flagship tiers
  • Reliable multi-step tool calling (τ²-class)
  • 262K context at mid-tier pricing

Trade-offs to watch

  • Smaller ecosystem — fewer SDKs and guides
  • 62 tok/s mid-pack speed
  • Text-only

Killer Use Cases

Autonomous research agents
Multi-step search-and-synthesize workflows.
Tool orchestration
Function calling over large API surfaces.
Analyst copilots
Reasoned synthesis across 262K-token briefs.

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": "simba/simba-3-2",
    "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
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Scores by Source

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
Simba 3.2 — reasoning frontier model
  • Adjustable reasoning budget with verifier-guided decoding
  • 262K context for multi-document tasks
  • Tool-use fine-tune targeting multi-step agents
  • 32K max output for long structured answers
Release date
Oct 5, 2026
Architecture
Simba 3.2 — reasoning frontier model
Parameters
Not disclosed
License
Proprietary
Context Window
262,000 tokens
Max Output
32,768 tokens
Modalities
text
Cache Pricing
read $0.2 · write $2.5 /1M
Reasoning
Effort levels
Input Price
$2/M
Output Price
$10/M
Output Speed
62 t/s
Time to First Token
—
Data Updated
Oct 22, 2026

Estimated monthly bill

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

Cite & embed

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BibTeX
@misc{llmpodium2026simba32,
  title = {Benchmark Analysis and Intelligence Evaluation of Simba 3.2},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/simba-3-2}
}

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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Simba 3.2 LLMPodium Score
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