API cost decision in 10 seconds

Mercury 2 vs Kimi K2 Thinking

Pick Mercury 2 for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mercury 2 for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $1.85 for Kimi K2 Thinking, saving $1.23 (66.2% lower).

Cost-first pickMercury 2

Context-first pickKimi K2 Thinking

Sample savings$1.2366.2%

10x traffic gap$12.25

Kimi K2 Thinking has more context, but Mercury 2 saves $1.23 on the standard workload. At 10x that traffic, the same price gap is about $12.25. 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	Kimi K2 Thinking
Input-heavy / RAG	5M input + 500K output	Mercury 2	$1.62	$4.25
Balanced workload	1M input + 1M output	Mercury 2	$1	$3.1
Output-heavy chatbot	1M input + 5M output	Mercury 2	$4	$13.1

Cheaper input Mercury 2 $0.25 vs $0.6 / 1M

Mercury 2 is $0.35 cheaper per 1M input tokens (58.3% lower; 2.4x difference).

Cheaper output Mercury 2 $0.75 vs $2.5 / 1M

Mercury 2 is $1.75 cheaper per 1M output tokens (70% lower; 3.33x difference).

Larger context Kimi K2 Thinking 128K vs 262.14K

Kimi K2 Thinking has 134.14K more context (2.05x larger).

Sample workload Mercury 2 $0.62 vs $1.85

Mercury 2 is $1.23 cheaper on the standard workload (66.2% 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

Kimi K2 Thinking 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; Kimi K2 Thinking offers the larger 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 $1.85 for Kimi K2 Thinking.

Best Fit

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

Choose Kimi K2 Thinking when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $1.85 for Kimi K2 Thinking, saving $1.23 (66.2% lower).
Mercury 2 is $1.23 cheaper on the standard workload (66.2% lower).
Mercury 2 is $0.35 cheaper per 1M input tokens (58.3% lower; 2.4x difference).
Mercury 2 is $1.75 cheaper per 1M output tokens (70% lower; 3.33x difference).
Kimi K2 Thinking has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	Mercury 2 (Inception)	Kimi K2 Thinking (MoonshotAI)
Input Price prompt tokens per 1M	$0.25	$0.6
Completion Price per 1M tokens	$0.75	$2.5
Sample Workload Cost 1M input + 500K output	$0.62	$1.85
Context Window	128K	262.14K
Release Date	2026-03-04	2025-11-06

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 $1.85 for Kimi K2 Thinking, saving $1.23 (66.2% 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	Kimi K2 Thinking	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Kimi K2.5 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.35.
Kimi K2 0711 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.72.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Inception catalog

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

Open Inception models

MoonshotAI catalog

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

Open MoonshotAI 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...

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...