The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs Mercury 3

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 43.0 to 36.1. DeepSeek-V4-Flash-0731 is 1.8x cheaper per token.

DeepSeek · Inception · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 43.0 to 36.1, ranking #57 overall.

On price, DeepSeek-V4-Flash-0731 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 43.0 and ranks #57 on LLM Stats
  • cost matters — it's about 1.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose Mercury 3

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
43.0
#57
36.1
#98
41.1
#63
34.8
#103
30.8
#58
21.5
#105
28.9
#51
19.4
#84
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.10 / M
Output price
$0.18 / M
$0.35 / M
Context window
1,048,576
1,000,000

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 12 for Mercury 3

No common benchmarks found

DeepSeek-V4-Flash-0731 and Mercury 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-0731 costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 1.7x cheaper than Mercury 3 ($0.10/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.9x cheaper than Mercury 3 ($0.35/1M tokens).

In conclusion, Mercury 3 is more expensive than DeepSeek-V4-Flash-0731.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Inception
Mercury 3
Input tokens$0.10
Output tokens$0.35
Best providerInception
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Mercury 3's 1,000,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Mercury 3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Mercury 3 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0731

MIT

Open weights

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Mercury 3 was released on 2026-10-19.

Mercury 3 is 3 months newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

2 months ago

Mercury 3

Oct 19, 2026

3 days ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Mercury 3 is available from Inception.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

Mercury 3

inception logo
Inception
Input Price:Input: $0.10/1MOutput Price:Output: $0.35/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Mercury 3 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Mercury 3.

Which is better, DeepSeek-V4-Flash-0731 or Mercury 3?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 43.0 to 36.1. DeepSeek-V4-Flash-0731 is made by DeepSeek and Mercury 3 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0731 compare to Mercury 3 in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%.

Is DeepSeek-V4-Flash-0731 cheaper than Mercury 3?

DeepSeek-V4-Flash-0731 is 1.7x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra. Mercury 3 costs $0.10/M input and $0.35/M output via inception.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Mercury 3?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Mercury 3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and Mercury 3?

Key differences include LLM Stats Score (43.0 vs 36.1), context window (1.0M vs 1.0M), input pricing ($0.06 vs $0.10/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Mercury 3?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Mercury 3 is developed by Inception.