Compare / DeepSeek V4 Pro 0423 vs Mercury 2
DeepSeek V4 Pro 0423 vs Mercury 2
Which is cheaper, which is more capable, and which does better at each kind of work, from 18 results on 3 sources that measured both models.
DeepSeek V4 Pro 0423 or Mercury 2? The short answer
- Mercury 2 is cheaper: $0.38 against $1.98 per million tokens, 5.3 times less.
- DeepSeek V4 Pro 0423 scores higher on the Artificial Analysis Intelligence Index: 36.0 against 13.8.
- On our business benchmarks, DeepSeek V4 Pro 0423 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
At a glance
| DeepSeek V4 Pro 0423 | Mercury 2 | |
|---|---|---|
| Price per million tokens | $1.32 in · $3.96 out | $0.25 in · $0.75 out |
| Blended (3 in : 1 out) | $1.98 | $0.38 |
| Cheapest host, blended | $0.26 (StreamLake, FP8) | – |
| Intelligence Index | 36.0 | 13.8 |
| Spring Prompt overall | 31 | – |
| Output speed, tokens a second | 115 | – |
| Context window | 1,048,576 tokens | 128,000 tokens |
| Weights | Open | Closed |
| Developer based in | China | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | DeepSeek V4 Pro 0423 | Mercury 2 |
|---|---|---|
| Decks from an analysisTurning a finished analysis into a deck you could present as it is | 17 of 18 | not measured |
| Marketing planningPlanning a year of ad spend without overspending | 13 of 18 | not measured |
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 77 of 161 | 107 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 28 of 195 | 109 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 29 of 187 | 146 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 55 of 153 | 136 of 153 |
| Speed under pressureGood decisions against a real clock (fast chess) | 22 of 22 | not measured |
Every shared result
| Benchmark | Metric | DeepSeek V4 Pro 0423 | Mercury 2 |
|---|---|---|---|
| Arena (formerly LMArena)reported | OverallArena rating | 1,455 | 1,368 |
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,460 | 1,340 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,446 | 1,292 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,480 | 1,348 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,452 | 1,327 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,458 | 1,343 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,451 | 1,307 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 68.8 | 31.1 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 36.0 | 13.8 |
| Artificial Analysisreported | GPQA Diamond% of questions | 92.8% | 77.0% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 41.0% | 17.1% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 80.3% | 43.7% |
| Artificial Analysisreported | SciCode% of problems | 51.0% | 37.7% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 78.7% | 27.3% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 14.1% | 0.0% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 39.6% | 9.5% |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 97.2% | 100.0% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 8.6% | 12.3% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is DeepSeek V4 Pro 0423 better than Mercury 2?
It depends on the task. Among models available today, on our benchmarks and licensed sources, DeepSeek V4 Pro 0423 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Which is cheaper, DeepSeek V4 Pro 0423 or Mercury 2?
Mercury 2 costs $0.38 per million tokens (three input to one output), against $1.98 for DeepSeek V4 Pro 0423.
Run DeepSeek V4 Pro 0423 and Mercury 2 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.