gpt-6-astra vs gpt-6.1-sol
Fourteen priced metrics for the same 2,000-in / 300-out call, with and without provider caching, and what TokenZero's cascade would do with the pair.
At list prices as of 2026-10-26, gpt-6.1-sol costs $3.04 per million blended tokens on a 2,000-in / 300-out call against $15.22 for gpt-6-astra, 80% less. With the static prefix cached both drop further: $21.50 versus $4.15 per thousand calls. TokenZero routes only prompts its classifier scores simple and holds a 99.8% parity floor.
· Source: provider list prices verified in pricing table 2026-10-26; costs computed by the same code that signs TokenZero receipts
At a glance
- Cheaper per blended token
- gpt-6.1-sol by 80% (computed)
- gpt-6-astra blended $/1M
- $15.22 (computed)
- gpt-6.1-sol blended $/1M
- $3.04 (computed)
- Input $/1M
- $10.00 vs $2.00
- Output $/1M
- $50.00 vs $10.00
- Cached input $/1M
- $1.000 vs $0.100
- Cache discount
- 90% vs 95% (computed)
- Monthly at 100k calls
- $3,500 vs $700 (computed)
- Saved per 1M calls
- $28,000 (computed)
- Providers
- openai vs openai
- Lifecycle
- active, no retirement announced vs active, no retirement announced
- Parity floor for routing
- 99.8% (shadow-eval breaker)
gpt-6-astra vs gpt-6.1-sol: list prices and the same workload on both (USD, table 2026-10-26)
| Metric | gpt-6-astra | gpt-6.1-sol | Delta |
|---|---|---|---|
| Provider · tier | openai · frontier | openai · mid | same provider |
| Input $/1M | $10.00 | $2.00 | 80% gap |
| Output $/1M | $50.00 | $10.00 | 80% gap |
| Cached input $/1M | $1.000 | $0.100 | 90% / 95% off input |
| Cache write $/1M | $12.500 | $2.500 | |
| Minimum cacheable prefix | 1024 tokens | 1024 tokens | |
| Effective blended $/1M (2,000 in / 300 out) | $15.22 | $3.04 | gpt-6.1-sol 80% less |
| Per call | $0.03500 | $0.00700 | $0.02800 |
| Per month at 100k calls | $3,500 | $700 | $2,800 |
| …with the 1,500-token prefix cached | $2,150 | $415 | $1,735 |
| Long-context threshold | 272,000 tokens ($20.00 in / $75.00 out above) | 272,000 tokens ($4.00 in / $15.00 out above) | |
| Processing tiers | flex 0.5x · fast 2x · ultrafast 6x | flex 0.5x · fast 2x · ultrafast 6x | |
| Lifecycle | active, no retirement announced | active, no retirement announced | |
| Cheaper sibling (cascade target) | gpt-6.1-sol | gpt-6-luna | |
| TokenZero cascade recommendation | gpt-6-astra → gpt-6.1-sol | $28,000 saved per 1M calls if every call moved; $11,200 at a 40% simple-prompt share | 99.8% parity floor, breaker on |
Use either model through TokenZero
OPENAI_BASE_URL=https://tokenzero.sh/v1
# keep your own keys; cache formatting on, routing advisory, signed receipt per callFree up to $500/month of routed spend; paid plans take 15% of verified savings with a 3x-ROI-or-$0 rule.
What is not on this page
Third-party quality scores (coding ELO, extraction accuracy, reasoning benchmarks) and per-model latency are not shown because TokenZero does not measure them; the numbers above are prices and the arithmetic on them. The latency benchmark shows what the gateway does measure.
Questions people ask
Which is cheaper, gpt-6-astra or gpt-6.1-sol?
gpt-6.1-sol. At list prices as of 2026-10-26 it costs $3.04 per million blended tokens versus $15.22 for gpt-6-astra, a 80% gap on a 2,000-input / 300-output call. Per month at 100,000 calls that is $700 versus $3,500.
How much does prompt caching change the gpt-6-astra vs gpt-6.1-sol gap?
Cached input costs $1.000 on gpt-6-astra and $0.100 on gpt-6.1-sol per million. With a 1,500-token static prefix cached, 100,000 calls cost $2,150 and $415 respectively; TokenZero's formatter places the breakpoints and sets prompt_cache_key automatically.
Can TokenZero route gpt-6-astra traffic to gpt-6.1-sol safely?
Yes, within openai: with X-TokenZero-Cascade: auto the classifier scores each prompt and only simple ones move; shadow evaluation re-runs a sample on gpt-6-astra and a pair below 99.8% parity is auto-disabled. Moving every call would save $28,000 per million calls; at a 40% simple share it is $11,200.
Is gpt-6-astra or gpt-6.1-sol being retired?
gpt-6-astra: active, no retirement announced. gpt-6.1-sol: active, no retirement announced. TokenZero audits flag retired ids and the gateway warns in X-TokenZero-Warning with the provider's replacement.