| Specification | Published value |
|---|---|
| Maker | DeepSeek[1][3][4] |
| Backbone parameters | 552B |
| Active parameters | 8B prefill / 16B decode |
| Context | Up to 1M tokens |
| Input → output | Images and text → text |
| Architecture | 40-layer causal encoder–decoder; MoE |
| License | MIT; model card and weights |
Maker model card checked October 30, 2026. Backbone count is distinct from total repository tensor parameters. · source
| Specification | Published value |
|---|---|
| Served version | DeepSeek[1][3][4]-V4.1-Flash-1017 |
| Model ID | deepseek[1][3][4]-flash |
| Context / maximum output | 1M / 384K tokens |
| Peak cache miss / cache hit input | USD 0.30 / USD 0.006 per 1M tokens |
| Peak output | USD 1.20 per 1M tokens |
| Off-peak rates | 50% of corresponding peak rates |
Current October 30 documentation describes the October17 API version. These limits/rates are not attributed to the initial September10 release. · source
Unofficial, from StatusGator. Uptime is the share of the window not marked down (0 min down, 177 min degraded); it covers the whole service, not this version alone.
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (DeepSeek-V4.1-Flash, 10 Sep 2026). Reasoning: Artificial Analysis Intelligence Index 39 (v4.3.2, Max). Coding: Terminal-Bench 4.0 26.8% measured by AA (DeepSeek's own headline is Terminal-Bench 2.1 90.6, not comparable). Context 1M (pricing page). Price: DeepSeek API peak $0.30 in / $1.20 out (AA lists $0.295/$1.20; off-peak half) = about $0.53 blended. Speed: AA 181 t/s on its page today, 227 on 23 Sep per a report, 190-270 across variants; scored 4.5. Modalities: text and image in, text out. The pin's V4-Pro traffic routes to Flash. Reviews: AA model page, TNW, SiliconANGLE, buildfastwithai (blog); no independent hands-on found.[4]
It's also notably fast, however very verbose.
The open question is whether DeepSeek's benchmarks hold up in independent testing, and what V4.1-Pro costs when it arrives.
V4.1-Flash scored 90.6 on Terminal-Bench 2.1, narrowly ahead of Opus 5 at 89.1 and GPT-5.6 Sol at 88.8.
V4.1 Flash is one of the strongest value-focused models for coding agents, multimodal developer workflows and high-volume API use.
| DeepSeek launches V4.1-Flash and retires V4-Pro, its flagship model · Sep 10, 2026 | 0.00 |
|---|---|
| DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro · Sep 10, 2026 | 0.70 |
| DeepSeek V4.1 Flash Review: Benchmarks, Price, Speed & Is It Worth It? (2026) · Sep 10, 2026 | 0.70 |
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DeepSeek's[3][4] announcement is dated "September 10, 2026" and says "V4.1-Flash is now live on the DeepSeek API"; its API-docs changelog lists "DeepSeek-V4.1-Flash Release 2026/09/10", and Reuters reports DeepSeek "today (10 September) launched DeepSeek-V4.1-Flash".
Wayback capture dated 2026-09-11 of the original Artificial Analysis page; it reads "It's also notably fast, however very verbose", index 40, 250M tokens generated against a 130M median. Archive capture date, not the review's own publication date.
DeepSeek's[1][4] pricing page gives DeepSeek-V4.1-Flash a 1M context length and 384K maximum output, and per-million-token prices of $0.15 input (cache miss) and $0.60 output off-peak, $0.30 and $1.20 at peak, with peak hours 01:00-04:00 and 06:00-10:00 UTC on weekdays.
DeepSeek's[1][3] developer-docs copy of the announcement, listed as "DeepSeek-V4.1-Flash Release 2026/09/10": the model name deepseek-flash, the retirement of V4-Flash and V4-Flash-Vision-Exp, and "Starting at 04:00 UTC on Sept 14, 2026, all deepseek-v4-pro requests will route to V4.1-Flash at V4.1-Flash rates".
The official model card: 552B backbone parameters, a Causal Encoder-Decoder that activates 8B parameters per token in prefill and 16B in decode, a KV cache of 890 bytes per token, 45T pre-training tokens, the MIT license, and the benchmark table against Opus 5.0, GPT-5.6 Sol, Kimi K3 and GLM-5.3.[1]
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deepseek-flash and in DeepSeek's web and mobile apps[1][6]deepseek-v4-pro request is answered by V4.1-Flash at V4.1-Flash rates until V4.1-Pro launches[1][4]Epoch AI model database (DeepSeek V4.1 Flash); Epoch's confidence in the figures: Likely. Blank tiles are not published.