API cost decision in 10 seconds

DeepSeek V3.1 Terminus vs Mercury 2

Pick Mercury 2 for lower cost; pick DeepSeek V3.1 Terminus only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mercury 2 for lower cost; pick DeepSeek V3.1 Terminus 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 $0.74 for DeepSeek V3.1 Terminus, saving $0.12 (16.1% lower).

Cost-first pickMercury 2
Context-first pickDeepSeek V3.1 Terminus
Sample savings$0.1216.1%
10x traffic gap$1.2

DeepSeek V3.1 Terminus has more context, but Mercury 2 saves $0.12 on the standard workload. At 10x that traffic, the same price gap is about $1.2. 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 shapeToken mixBetter pickDeepSeek V3.1 TerminusMercury 2
Input-heavy / RAG5M input + 500K outputMercury 2$1.83$1.62
Balanced workload1M input + 1M outputMercury 2$1.22$1
Output-heavy chatbot1M input + 5M outputMercury 2$5.02$4
Cheaper input Mercury 2 $0.27 vs $0.25 / 1M

Mercury 2 is $0.02 cheaper per 1M input tokens (7.4% lower; 1.08x difference).

Cheaper output Mercury 2 $0.95 vs $0.75 / 1M

Mercury 2 is $0.2 cheaper per 1M output tokens (21.1% lower; 1.27x difference).

Larger context DeepSeek V3.1 Terminus 163.84K vs 128K

DeepSeek V3.1 Terminus has 35.84K more context (1.28x larger).

Sample workload Mercury 2 $0.74 vs $0.62

Mercury 2 is $0.12 cheaper on the standard workload (16.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.1 Terminus Calculating… Estimated API cost
Mercury 2 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; DeepSeek V3.1 Terminus 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 $0.74 for DeepSeek V3.1 Terminus and $0.62 for Mercury 2.

Best Fit

Choose DeepSeek V3.1 Terminus when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.12 (16.1% lower).
  • Mercury 2 is $0.12 cheaper on the standard workload (16.1% lower).
  • Mercury 2 is $0.02 cheaper per 1M input tokens (7.4% lower; 1.08x difference).
  • Mercury 2 is $0.2 cheaper per 1M output tokens (21.1% lower; 1.27x difference).
  • DeepSeek V3.1 Terminus has 35.84K more context (1.28x larger).
Head-to-Head Specs
FeatureDeepSeek V3.1 Terminus
(DeepSeek)
Mercury 2
(Inception)
Input Price
prompt tokens per 1M
$0.27$0.25
Completion Price
per 1M tokens
$0.95$0.75
Sample Workload Cost
1M input + 500K output
$0.74$0.62
Context Window163.84K128K
Release Date
Popularity#82#136

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMercury 2On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.12 (16.1% lower).
High-volume input processingMercury 2Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMercury 2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V3.1 TerminusA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • DeepSeek V4 Flash (free) can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.2.
  • R1 Distill Qwen 32B can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.43.
  • DeepSeek V3.2 can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.44.
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.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

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.

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DeepSeek catalog

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

Open DeepSeek models

Inception catalog

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

Open Inception models
DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

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...