GPT-6.1 Sol vs GPT-6 Astra
Both are OpenAI GPT-6 generation models with a 1,050,000-token context window. Sol 6.1 is priced at one fifth of Astra on input and output; Astra is the flagship and the only one with an Ultrafast tier. GPT-6 Astra vs GPT-6.1 Sol in one table: list price, context window, output limit, cutoff and release date, with a cost calculator for your own monthly volume.
| Spec | GPT-6.1 Sol | GPT-6 Astra |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Released | 2026-09-29 | 2026-09-03 |
| Input / 1M tokens | $2.00 | $10.00 |
| Output / 1M tokens | $10.00 | $50.00 |
| Cached input / 1M | $0.100 | $1.00 |
| Batch input / output | $1.00 / $5.00 | $5.00 / $25.00 |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| Knowledge cutoff | 2026-04-30 | 2026-04-30 |
| Image input | yes | yes |
| API ID | gpt-6.1-sol | gpt-6-astra |
| Status | Generally available | Generally available |
Cost at your volume
list price, per monthPaste your usage instead of typing
Paste a line from a provider invoice, a usage dashboard, or an API response. We look for input and output token counts (JSON keys like input_tokens, prompt_tokens, completion_tokens, or text like "1.2M in, 300k out"). Nothing leaves your browser.
Examples that work: {"usage":{"input_tokens":1200000,"output_tokens":300000}} · 1.2M in, 300k out · GPT-6.1 Sol: 2.4B input tokens, 310M output tokens
Same token counts on both sides. Real bills differ: tokenizers differ, reasoning models bill thinking tokens as output, and caching or batch discounts apply differently. Rank all models →
Pick GPT-6.1 Sol if…
- Cost matters most: $12.00 vs $60.00 per 1M in + 1M out, 80% less.
- Your workload is cache-heavy: cached input is $0.100 vs $1.00 per 1M.
- Same provider: switching is a one-line model ID change (
gpt-6.1-sol). - OpenAI positions it as close to GPT-6 Astra on agentic coding, computer use and professional work at 1/5 the token price (vendor claim).
Pick Astra if…
- You have evals showing it beats GPT-6.1 Sol on your task by more than the 80% price gap.
- Same provider: switching is a one-line model ID change (
gpt-6-astra). - OpenAI calls it its most intelligent and most aligned model (vendor claim).
Price difference, in words
Per million tokens, GPT-6.1 Sol lists at $2.00 in / $10.00 out, against $10.00 / $50.00 for GPT-6 Astra. That is 5.0× on input and 5.0× on output, or 80% less for a job that uses one million tokens each way ($12.00 vs $60.00).
With prompt caching, the gap moves: cached input is $0.100 on GPT-6.1 Sol and $1.00 on Astra. Agent loops that re-send a large system prompt every turn pay mostly cached-input rates.
- OpenAI model page: gpt-6.1-sol read 2026-10-08
context, max output, cutoff, pricing, features, endpoints - OpenAI API pricing read 2026-10-08
standard, batch, flex, fast, long-context rates - OpenAI API changelog (Sep 29, 2026 entry) read 2026-10-08
release date, multi-agent beta - AWS What's New: GPT-6.1 Sol on Amazon Bedrock read 2026-10-08
Bedrock availability - TechCrunch: OpenAI launches GPT-6.1 Sol (secondary; quotes OpenAI) read 2026-10-08
availability by tier, OpenAI's capability claims
- OpenAI model page: gpt-6-astra read 2026-10-08
context, max output, cutoff, pricing, features - OpenAI API pricing read 2026-10-08
standard, batch, flex, fast, ultrafast, long-context rates - OpenAI API changelog (Sep 3 and Sep 29, 2026 entries) read 2026-10-08
release date, Ultrafast mode - OpenAI announcement: GPT-6 Astra read 2026-10-08
availability; page returned 403 to our fetcher, availability taken from search snippet - Google DeepMind Gemini 4 Argon page (benchmark table) read 2026-10-08
third-party vendor-published scores