Inception

Mercury 2.5

$0.04 per 1M input tokens and $0.15 per 1M output tokens · 260K context · tools, reasoning, JSON.

Prices checked Oct 21, 2026 · tracked by LLM Cost Index since Oct 21, 2026

$0.04
input / 1M tokens
$0.15
output / 1M tokens
$0.0040
cached input / 1M
260K
context window
66K
max output
12.3
Artificial Analysis intelligence index

What Mercury 2.5 costs per month

Estimated monthly bill for typical workloads, using the cached-input price for repeated context. Try your own numbers in the cost calculator.

WorkloadPer month
Customer chatbot
1,000 conversations a day, 8 turns each
$19.22
Document Q&A (RAG)
500 questions a day over retrieved documents
$4.40
Coding / tool-using agent
200 tasks a day, long tool-heavy contexts
$8.28
Content generation
30 long articles a day
$0.446
Classification / extraction
100,000 short items a day
$42.75

Price history

We started tracking Mercury 2.5 on Oct 21, 2026; the chart appears as soon as there is a second data point. See all recent price changes.

Cheaper alternatives to Mercury 2.5

Models with the same tool calling, structured output for at least 20% less (3:1 input/output mix), most capable first.

Cheaper alternatives to Mercury 2.5
Model Input / 1M Output / 1M Context Capabilities
Ling 3.0 Flash
inclusionAI
$0.021 $0.063 262K toolsreasoningJSONopen weights
gpt-oss-20b
OpenAI
$0.018 $0.09 131K toolsreasoningJSONopen weights
Mistral Nemo
Mistral AI
$0.029 $0.03 131K toolsJSONopen weights

How to pay less for Mercury 2.5

For a customer chatbot (1,000 conversations a day, 8 turns each) that costs $27.00 a month at list price without caching:

OptionPer monthYou save
Move to Ling 3.0 Flash (similar capabilities)$9.22$17.78 (66%)
Use prompt caching (60% of input cached)$19.22$7.78 (29%)

Other workloads: cut-your-bill tool for Mercury 2.5.

Specifications

Model IDinception/mercury-2.5
Inputtext
Outputtext
Tool callingYes
Structured outputYes
Reasoning modeYes
Open weightsNo
ReleasedSep 8, 2026

FAQ

How much does Mercury 2.5 cost?
$0.04 per million input tokens and $0.15 per million output tokens; cached input costs $0.0040 per million. Prices as of Oct 21, 2026.
What is the context window of Mercury 2.5?
260K tokens, with up to 66K output tokens per response.
Does Mercury 2.5 support images, tools and structured output?
Images as input: no. Tool calling: yes. Structured (JSON) output: yes. Reasoning mode: yes.
What are cheaper alternatives to Mercury 2.5?
Models with the same key capabilities for at least 20% less include Ling 3.0 Flash ($0.021 / $0.063), gpt-oss-20b ($0.018 / $0.09), Mistral Nemo ($0.029 / $0.03).

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