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

deepseek-flash vs gpt-5.5

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, deepseek-flash costs $0.42 per million blended tokens on a 2,000-in / 300-out call against $8.26 for gpt-5.5, 94.9% less. With the static prefix cached both drop further: $0.52 versus $12.25 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 deepseek-flash request and signs a real receipt. $0 provider spend.

At a glance

Cheaper per blended token
deepseek-flash by 94.9% (computed)
deepseek-flash blended $/1M
$0.42 (computed)
gpt-5.5 blended $/1M
$8.26 (computed)
Input $/1M
$0.30 vs $5.00
Output $/1M
$1.20 vs $30.00
Cached input $/1M
$0.006 vs $0.500
Cache discount
98% vs 90% (computed)
Monthly at 100k calls
$96 vs $1,900 (computed)
Saved per 1M calls
$18,040 (computed)
Providers
deepseek vs openai
Lifecycle
active, no retirement announced vs active, no retirement announced
Parity floor for routing
99.8% (shadow-eval breaker)

deepseek-flash vs gpt-5.5: list prices and the same workload on both (USD, table 2026-10-26)

Metricdeepseek-flashgpt-5.5Delta
Provider · tierdeepseek · fastopenai · frontierdifferent providers
Input $/1M$0.30$5.0094% gap
Output $/1M$1.20$30.0096% gap
Cached input $/1M$0.006$0.50098% / 90% off input
Cache write $/1Mno surchargeno surcharge
Minimum cacheable prefix1024 tokens1024 tokens
Effective blended $/1M (2,000 in / 300 out)$0.42$8.26deepseek-flash 94.9% less
Per call$0.00096$0.01900$0.01804
Per month at 100k calls$96$1,900$1,804
…with the 1,500-token prefix cached$52$1,225$1,173
Long-context thresholdsingle tier272,000 tokens ($10.00 in / $45.00 out above)
Processing tiersstandard onlyflex 0.5x · fast 2.5x
Lifecycleactive, no retirement announcedactive, no retirement announced
Cheaper sibling (cascade target)—gpt-5.4-mini
TokenZero cascade recommendationnone (cascade stays within one provider; cross-provider moves only on failover)$18,040 saved per 1M calls if every call moved; $7,216 at a 40% simple-prompt share99.8% parity floor, breaker on

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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, deepseek-flash or gpt-5.5?

deepseek-flash. At list prices as of 2026-10-26 it costs $0.42 per million blended tokens versus $8.26 for gpt-5.5, a 94.9% gap on a 2,000-input / 300-output call. Per month at 100,000 calls that is $96 versus $1,900.

How much does prompt caching change the deepseek-flash vs gpt-5.5 gap?

Cached input costs $0.006 on deepseek-flash and $0.500 on gpt-5.5 per million. With a 1,500-token static prefix cached, 100,000 calls cost $52 and $1,225 respectively; TokenZero's formatter places the breakpoints and sets prompt_cache_key automatically.

Can TokenZero route gpt-5.5 traffic to deepseek-flash safely?

Not automatically: cascade routing stays inside one provider so the request shape, tools and keys are unchanged. Cross-provider moves happen only on failover when you name the fallback model and key. Use the calculator to price a manual migration of the workload.

Is deepseek-flash or gpt-5.5 being retired?

deepseek-flash: active, no retirement announced. gpt-5.5: 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 deepseek-flash and gpt-5.5

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