API cost decision in 10 seconds

Mercury 2 vs GPT Audio

Pick Mercury 2 when budget is the priority.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T12:38:15Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mercury 2 when budget is the priority.

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $7.5 for GPT Audio, saving $6.88 (91.7% lower).

Cost-first pickMercury 2

Context-first pickBoth models

Sample savings$6.8891.7%

10x traffic gap$68.75

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $68.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mercury 2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Mercury 2	GPT Audio
Input-heavy / RAG	5M input + 500K output	Mercury 2	$1.62	$17.5
Balanced workload	1M input + 1M output	Mercury 2	$1	$12.5
Output-heavy chatbot	1M input + 5M output	Mercury 2	$4	$52.5

Cheaper input Mercury 2 $0.25 vs $2.5 / 1M

Mercury 2 is $2.25 cheaper per 1M input tokens (90% lower; 10x difference).

Cheaper output Mercury 2 $0.75 vs $10 / 1M

Mercury 2 is $9.25 cheaper per 1M output tokens (92.5% lower; 13.3x difference).

Larger context Tie 128K vs 128K

Both models report the same context window at 128K tokens.

Sample workload Mercury 2 $0.62 vs $7.5

Mercury 2 is $6.88 cheaper on the standard workload (91.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mercury 2 Calculating… Estimated API cost

GPT Audio Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mercury 2 has the lower input price; Mercury 2 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Mercury 2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.62 for Mercury 2 and $7.5 for GPT Audio.

Best Fit

Choose Mercury 2 when you care most about lower input-token price, and lower output-token price.

Choose GPT Audio when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $7.5 for GPT Audio, saving $6.88 (91.7% lower).
Mercury 2 is $6.88 cheaper on the standard workload (91.7% lower).
Mercury 2 is $2.25 cheaper per 1M input tokens (90% lower; 10x difference).
Mercury 2 is $9.25 cheaper per 1M output tokens (92.5% lower; 13.3x difference).
Both models report the same context window at 128K tokens.

Head-to-Head Specs

Feature	Mercury 2 (Inception)	GPT Audio (OpenAI)
Input Price prompt tokens per 1M	$0.25	$2.5
Completion Price per 1M tokens	$0.75	$10
Sample Workload Cost 1M input + 500K output	$0.62	$7.5
Context Window	128K	128K
Release Date	2026-03-04	2026-01-19

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mercury 2	On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $7.5 for GPT Audio, saving $6.88 (91.7% lower).
High-volume input processing	Mercury 2	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mercury 2	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT Audio when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT Audio when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT Audio when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT Audio when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Inception catalog

Review all tracked Inception models before deciding whether this matchup is the right shortlist.

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OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

Open OpenAI models

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...