openai vs openai · list prices · table 2026-10-26

gpt-5.4 vs gpt-6-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-sol costs $3.04 per million blended tokens on a 2,000-in / 300-out call against $4.13 for gpt-5.4, 26.3% less. With the static prefix cached both drop further: $6.13 versus $4.30 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

Runs the four engines on a canned gpt-5.4 request and signs a real receipt. $0 provider spend.

At a glance

Cheaper per blended token
gpt-6-sol by 26.3% (computed)
gpt-5.4 blended $/1M
$4.13 (computed)
gpt-6-sol blended $/1M
$3.04 (computed)
Input $/1M
$2.50 vs $2.00
Output $/1M
$15.00 vs $10.00
Cached input $/1M
$0.250 vs $0.200
Cache discount
90% vs 90% (computed)
Monthly at 100k calls
$950 vs $700 (computed)
Saved per 1M calls
$2,500 (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-5.4 vs gpt-6-sol: list prices and the same workload on both (USD, table 2026-10-26)

Metricgpt-5.4gpt-6-solDelta
Provider · tieropenai · frontieropenai · midsame provider
Input $/1M$2.50$2.0020% gap
Output $/1M$15.00$10.0033.3% gap
Cached input $/1M$0.250$0.20090% / 90% off input
Cache write $/1Mno surcharge$2.500
Minimum cacheable prefix1024 tokens1024 tokens
Effective blended $/1M (2,000 in / 300 out)$4.13$3.04gpt-6-sol 26.3% less
Per call$0.00950$0.00700$0.00250
Per month at 100k calls$950$700$250
…with the 1,500-token prefix cached$613$430$183
Long-context threshold272,000 tokens ($5.00 in / $22.50 out above)272,000 tokens ($4.00 in / $15.00 out above)
Processing tiersflex 0.5x · fast 2xflex 0.5x · fast 2x
Lifecycleactive, no retirement announcedactive, no retirement announced
Cheaper sibling (cascade target)gpt-5.4-minigpt-6-luna
TokenZero cascade recommendationgpt-5.4 → gpt-6-sol$2,500 saved per 1M calls if every call moved; $1,000 at a 40% simple-prompt share99.8% 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 call

Free 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-5.4 or gpt-6-sol?

gpt-6-sol. At list prices as of 2026-10-26 it costs $3.04 per million blended tokens versus $4.13 for gpt-5.4, a 26.3% gap on a 2,000-input / 300-output call. Per month at 100,000 calls that is $700 versus $950.

How much does prompt caching change the gpt-5.4 vs gpt-6-sol gap?

Cached input costs $0.250 on gpt-5.4 and $0.200 on gpt-6-sol per million. With a 1,500-token static prefix cached, 100,000 calls cost $613 and $430 respectively; TokenZero's formatter places the breakpoints and sets prompt_cache_key automatically.

Can TokenZero route gpt-5.4 traffic to gpt-6-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-5.4 and a pair below 99.8% parity is auto-disabled. Moving every call would save $2,500 per million calls; at a 40% simple share it is $1,000.

Is gpt-5.4 or gpt-6-sol being retired?

gpt-5.4: active, no retirement announced. gpt-6-sol: active, no retirement announced. TokenZero audits flag retired ids and the gateway warns in X-TokenZero-Warning with the provider's replacement.

Related

Price your own workload on gpt-5.4 and gpt-6-sol

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