Model comparison
DeepSeek V3.1 vs DeepSeek V4.1 Flash
Two DeepSeek tiers compared on the figures that decide which one a workload actually needs.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
DeepSeek
DeepSeek V3.1
Budget · Open weights
DeepSeek
DeepSeek V4.1 Flash
Balanced · Open weights
| Specification | DeepSeek V3.1 | DeepSeek V4.1 Flash |
|---|---|---|
| Provider | ||
| Provider | DeepSeek | DeepSeek |
| Tier | ||
| Tier | Budget | Balanced |
| Context window | ||
| Context window | 128K | Winner: 1M |
| Max output | ||
| Max output | Not verifiedUnverified | 384K |
| Input / 1M tokens | ||
| Input / 1M tokens | Winner: $0.25 | $0.30 |
| Output / 1M tokens | ||
| Output / 1M tokens | Winner: $0.95 | $1.20 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 671B total / 37B active (MoE) | 552B MoE (causal encoder-decoder; 8B active for input, 16B for output) |
| Reasoning levels | ||
| Reasoning levels | low, high, max | low, high, max |
| Modalities | ||
| Modalities | text | text, image |
| License | ||
| License | MIT | MIT |
| API model id | ||
| API model id | Not publishedUnverified | deepseek-flash |
| Released | ||
| Released | August 21, 2025 | September 10, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 13.5 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | Not verifiedUnverified | 39.5 |
| DeepSWE 1.1 [max] (2026-09-10) | ||
| DeepSWE 1.1 [max] (2026-09-10) | Not verifiedUnverified | 74.2 |
| Terminal-Bench 2.1 [max] (2026-09-10) | ||
| Terminal-Bench 2.1 [max] (2026-09-10) | Not verifiedUnverified | 90.6 |
| GPQA Diamond [max] (2026-09-10) | ||
| GPQA Diamond [max] (2026-09-10) | Not verifiedUnverified | 90.9 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-10DeepSeek V4.1-Flash release notes (vendor)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
Pricing tiers
DeepSeek V3.1: No first-party API: DeepSeek moved the deepseek-chat alias to V3.1-Terminus on 2025-09-22 (the alias itself was retired on 2026-07-24). Third-party hosts listed ~$0.25/$0.95 per MTok (secondary, last checked 2026-08-29) — verify with your host.
DeepSeek V4.1 Flash: Official peak rates $0.30/$1.20 per MTok; off-peak $0.15/$0.60 (50% of peak). Cache hit $0.006 peak / $0.003 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC. Open weights (MIT). The legacy deepseek-v4-flash and deepseek-v4-flash-vision-exp ids temporarily route here.
DeepSeek V3.1
DeepSeek V3.1 is a legacy open-weight (MIT) 671B/37B MoE with a 128K context — superseded by V3.1-Terminus, V3.2 and then V4.
Best for
- Cost-sensitive hosted agents
- High-volume coding assist
- Open-weight deployments
Watch out
Legacy: DeepSeek's own API stopped serving V3.1 when deepseek-chat moved to V3.1-Terminus on 2025-09-22; hosted rates differ by provider and self-hosting needs datacentre VRAM.
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is DeepSeek's new default — an open-weight (MIT) multimodal MoE that DeepSeek says beats V4-Pro on performance, cost and speed.
Best for
- Open-weight price-performance
- High-volume hosted agents
- Self-hosting with MIT weights
Watch out
Vendor benchmark claims are far ahead of its independent Artificial Analysis score (39.5 on v4.3.2); peak/off-peak billing means the hour you run matters.
When the cheaper one wins
DeepSeek V3.1 is cheaper on output at $0.95 per million tokens against $1.20 for DeepSeek V4.1 Flash — about 1.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: max output.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- DeepSeek V3.1: DeepSeek — V3.1 (accessed 2026-08-29)
- DeepSeek V3.1: CloudPrice — DeepSeek V3.1 (accessed 2026-08-29)
- DeepSeek V3.1: DeepSeek API changelog (2025-09-22: deepseek-chat upgraded to V3.1-Terminus) (accessed 2026-09-26)
- DeepSeek V4.1 Flash: DeepSeek — V4.1-Flash release (2026-09-10) (accessed 2026-09-26)
- DeepSeek V4.1 Flash: DeepSeek API pricing (deepseek-flash $0.30/$1.20 peak) (accessed 2026-09-26)
- DeepSeek V4.1 Flash: Hugging Face — deepseek-ai/DeepSeek-V4.1-Flash (accessed 2026-09-26)
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Diving deeper on one model? DeepSeek V3.1 · DeepSeek V4.1 Flash
Common questions
DeepSeek V3.1 vs DeepSeek V4.1 Flash
Answered from the verified figures on this page rather than general guidance.
Is DeepSeek V3.1 or DeepSeek V4.1 Flash cheaper for input?
Is DeepSeek V3.1 or DeepSeek V4.1 Flash cheaper for output?
Which has the larger context window, DeepSeek V3.1 or DeepSeek V4.1 Flash?
Do DeepSeek V3.1 and DeepSeek V4.1 Flash support the same reasoning levels?
Should I use DeepSeek V3.1 or DeepSeek V4.1 Flash?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: DeepSeek V3.1 costs $0.25 per 1M tokens versus $0.30 for DeepSeek V4.1 Flash — a 1.2x difference at the headline tier.
- Context: DeepSeek V4.1 Flash takes 1M against 128K for DeepSeek V3.1 — only decisive if your prompts approach the smaller window.
- Positioning: DeepSeek V3.1 sits in the budget tier, DeepSeek V4.1 Flash in the balanced tier — most production volume (classification, extraction, summarisation) does not need the pricier tier.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.