Compare / DeepSeek-V4.1-Flash-1017 vs DeepSeek-V4-Pro (0423)
DeepSeek-V4.1-Flash-1017 vs DeepSeek-V4-Pro (0423)
Which is cheaper, which is more capable, and which does better at each kind of work, from 31 results on 3 sources that measured both models.
Of the 31 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 20 October 2026 (catalogue release 2026-10-20-96eb40c3ec63).
DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)? The short answer
Pick DeepSeek-V4.1-Flash-1017: it scores higher (Spring Prompt overall 44 against 31) and costs less.
- Spring Prompt overall: DeepSeek-V4.1-Flash-1017 44, DeepSeek-V4-Pro (0423) 31 (out of 100; how the score works).
- DeepSeek-V4.1-Flash-1017 is cheaper to run: $0.026 against $0.046 per deck on DeckBench (45% less).
- DeepSeek-V4.1-Flash-1017 scores higher on the Artificial Analysis Intelligence Index: 45.1 against 30.4.
- DeepSeek-V4.1-Flash-1017 is newer: released 17 Oct 2026, against 24 Apr 2026 for DeepSeek-V4-Pro (0423).
- On our own benchmarks, on the results both models have: DeepSeek-V4.1-Flash-1017 does better for decks from an analysis and marketing planning.
- On third-party benchmarks, on the results both models have: DeepSeek-V4.1-Flash-1017 does better for agents and tool use and reasoning and knowledge.
Head to head
Every fact side by side
| DeepSeek-V4.1-Flash-1017 | DeepSeek-V4-Pro (0423) | |
|---|---|---|
| Price per million tokens | $0.30 in · $1.20 out | $1.42 in · $2.83 out |
| Blended (3 in : 1 out) | $0.52 | $1.77 |
| Cheapest host, blended | – | $1.19 (StreamLake, FP8) |
| Cost per deck (DeckBench) | $0.026 | $0.046 |
| Cached input, per million | $0.006 cached input | – |
| Intelligence Index | 45.1 | 30.4 |
| Spring Prompt overall | 44 | 31 |
| Output speed, tokens a second | 212 | – |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Released | 17 Oct 2026 (newer) | 24 Apr 2026 |
| Weights | Open | Open |
| Developer based in | China | China |
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 the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
From our research
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | DeepSeek-V4.1-Flash-1017 | DeepSeek-V4-Pro (0423) |
|---|---|---|
| DeckBench measured by Spring Prompt · 3 results | ||
| Cost per deckUS dollars, lower is better 7 · 11 of 24 measured | $0.0255 | $0.0465 |
| Deck ratingrating, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 12 · 24 of 24 measured | 1,145 | 599 |
| Accurate decks% of tasks, higher is better 14 · 20 of 24 measured | 33.3% | 0.0% |
| ROASBench measured by Spring Prompt · 3 results | ||
| Overall scorescore out of 100, higher is better 11 · 17 of 24 measured | 41.4 | 28.3 |
| Audience scorescore out of 100, higher is better 9 · 20 of 24 measured | 65.3 | 44.8 |
| Business scorescore out of 100, higher is better 11 · 17 of 24 measured | 38.3 | 23.8 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 16 · 53 of 249 measured | 45.1max reasoning | 30.4max reasoning |
| Humanity's Last Exam% of questions, higher is better 27 · 55 of 248 measured | 43.3%max reasoning | 37.5%max reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 16 · 30 of 118 measured | 33.8%max reasoning | 14.6%max reasoning |
Show all 31 results (22 more)
| Measure | DeepSeek-V4.1-Flash-1017 | DeepSeek-V4-Pro (0423) |
|---|---|---|
| DeckBench measured by Spring Prompt · 14 results | ||
| Caveat dropped% of tasks, lower is better 12 · 12 of 24 measured | 16.7% | 16.7% |
| Clean layout% of tasks, higher is better 20 · 14 of 24 measured | 16.7% | 33.3% |
| Design quality% of the maximum, higher is better 9 · 23 of 24 measured | 68.5% | 40.9% |
| Draft figure quoted% of tasks, lower is better 19 · 12 of 24 measured | 50.0% | 33.3% |
| Findings missing% of tasks, lower is better 1 · 17 of 24 measured | 0.0% | 16.7% |
| Head-to-head win rate% of comparisons, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 14 · 24 of 24 measured | 53.3% | 24.4% |
| Layout defects% of tasks, lower is better 20 · 14 of 24 measured | 83.3% | 66.7% |
| Misleading metric used% of tasks, lower is better 1 · 1 of 24 measured | 0.0% | 0.0% |
| Presentable decks% of tasks, higher is better 12 · 12 of 24 measured | 0.0% | 0.0% |
| Recommendation late or wrong% of tasks, lower is better 9 · 20 of 24 measured | 16.7% | 66.7% |
| Slides needing work% of tasks, lower is better 16 · 21 of 24 measured | 66.7% | 83.3% |
| Time per deckseconds, lower is better 7 · 21 of 24 measured | 73.0 | 332 |
| Unsupported claims% of tasks, lower is better 11 · 24 of 24 measured | 16.7% | 66.7% |
| Unsupported numbers% of tasks, lower is better 1 · 1 of 24 measured | 0.0% | 0.0% |
| ROASBench measured by Spring Prompt · 6 results | ||
| Consistency scorescore out of 100, higher is better 15 · 22 of 24 measured | 20.2 | 9.1 |
| Contribution profitsimulated US dollars, higher is better 10 · 16 of 24 measured | $585,572 | $301,289 |
| Cost of a runUS dollars, lower is better 8 · 13 of 24 measured | $0.0799 | $0.20 |
| Months over budgetmonths of 12, lower is better 1 · 1 of 24 measured | 0 | 0 |
| Planning scorescore out of 100, higher is better 20 · 22 of 24 measured | 54.3 | 54.0 |
| Return on ad spendprofit per $1 spent, higher is better 12 · 16 of 24 measured | $0.44 | $0.26 |
| Artificial Analysis reported by Artificial Analysis · 2 results | ||
| Long-context reasoning (AA-LCR)% of questions, higher is better 19 · 84 of 239 measured | 82.7%max reasoning | 74.7%max reasoning |
| SciCode% of problems, higher is better 24 · 48 of 119 measured | 55.9%max reasoning | 50.8%max reasoning |
Compare them with other models
- DeepSeek-V4.1-Flash-1017 vs Claude Haiku 5.5Cheapest with similar intelligence
- DeepSeek-V4.1-Flash-1017 vs Muse Spark 1.3Fastest with similar intelligence
- DeepSeek-V4.1-Flash-1017 vs Claude Opus 5.5Most intelligent available today
- DeepSeek-V4-Pro (0423) vs Muse Spark 1.3Most intelligent at $1–3 per million tokens
- DeepSeek-V4-Pro (0423) vs Claude Opus 5.5Most intelligent available today
Quick answers
Is DeepSeek-V4.1-Flash-1017 better than DeepSeek-V4-Pro (0423)?
Pick DeepSeek-V4.1-Flash-1017: it scores higher (Spring Prompt overall 44 against 31) and costs less.
Which is cheaper, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 is cheaper to run: $0.026 against $0.046 per deck on DeckBench (45% less).
Which is better for decks from an analysis, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 ranks 12 of 24 models on sale for turning a finished analysis into a deck you could present as it is, against 24 for DeepSeek-V4-Pro (0423).
Which is better for marketing planning, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 ranks 11 of 24 models on sale for planning a year of ad spend without overspending, against 17 for DeepSeek-V4-Pro (0423).
Which is better for agents and tool use, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 ranks 22 of 168 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 91 for DeepSeek-V4-Pro (0423).
Which is better for reasoning and knowledge, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 ranks 22 of 202 models on sale for hard questions across science, maths and general knowledge, against 48 for DeepSeek-V4-Pro (0423).
Which is better for speed under pressure, DeepSeek-V4.1-Flash-1017 or DeepSeek-V4-Pro (0423)?
DeepSeek-V4.1-Flash-1017 ranks 21 of 27 models on sale for good decisions against a real clock (fast chess), against 28 for DeepSeek-V4-Pro (0423).
Run DeepSeek-V4.1-Flash-1017 and DeepSeek-V4-Pro (0423) on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.