Ring-2.6-1T
by Inclusionai · inclusionai/ring-2.6-1t · #67 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...
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Pricing
Input
$0.075
per 1M tokens
Output
$0.625
per 1M tokens
Blended (3:1)
$0.212
3 input : 1 output
Cache read
$0.015
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Ring-2.6-1T with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.212 | $0.008275 | — |
| 50% | $0.19 | $0.005275 | −36% |
| 90% | $0.172 | $0.002875 | −65% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000225 | $0.225 |
| Document summary | 8,000 | 1,000 | $0.001225 | $1.22 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0035 | $3.50 |
| Long-context analysis | 150,000 | 5,000 | $0.0144 | $14.37 |
Performance
Intelligence Index
30.6
AA composite quality
Coding Index
42.8
Math Index
—
Agentic Index
18.9
Output speed
129 tok/s
median
Time to first token
1.78s
median
Time to first answer
17.25s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 85.7% |
| Humanity's Last Exam | 18.3% |
| SciCode | 42.4% |
| IFBench | 44.6% |
| AA-LCR (Long Context Reasoning) | 64.3% |
| Terminal-Bench Hard | 28.8% |
| Terminal-Bench 2.1 | 43.1% |
| τ²-Bench (Telecom) | 92.4% |
| τ³-Bench Banking | 14.2% |
Specs
Context window
262K
tokens
Max output
66K
tokens
Input modalities
text
Tokenizer
Other