DeepSeek V4.1 Flash hands-on tests and comparisons

The poster says the model appears to have shown up on the API platform before any announcement and asks whether anyone has called it and how speed, price and coding perform; no test data yet.

AIHubMix ran both versions on the same prompt at max reasoning: the older build took ~20 min and $0.50, the 1017 build ~17 min and $0.46.

A user reports the overseas V4.1-Flash gives roughly 100M free tokens per day through month-end, and notes DeepSeek opened its own search API at about ¥5 per 1,000 queries.

The author focuses on agent cost and latency: DeepSeek reports shorter outputs, faster task completion and unchanged API pricing, with Terminal-Bench 4.0 at 42.3 and DeepSWE v1.1 at 77.0, though scores depend on the harness.

Highlights from the release: DeepSWE improves from 74.2 to 77.0, outputs are shorter and less verbose, and official weight downloads are available.

The post notes that DeepSeek-V4.1-flash-1017 continues to ship open source, suggesting new regulations do not restrict open-weight models.

The post cites 77% on DeepSWE versus Opus 5's 74 and GPT-5.6-Sol's 73, Terminal-Bench jumping 31 to 42, and about $0.20 per task against roughly $12 for Opus 5 and $22 for Fable 5.

The official model card shows leads on DeepSWE (77.0 vs 74.0) and Agents' Last Exam (35.4 vs 28.6) but deficits on Terminal-Bench (42.3 vs 51.8) and HLE (42.6 vs 56.3); shorter outputs cut per-task cost.

The post cites DeepSWE v1.1 at 77.0% and Terminal-Bench 4.0 rising from 31.2% to 42.3%, with API at $0.15 input / $0.60 output and cost per task cut to a third.

Vendor-reported scores including DeepSWE 77.0, Automation-Bench 60.5 and Apex Bench 72.1 top Sol and Opus 5, with per-million-token pricing of $0.15/$0.60 off-peak versus $4/$20 and $5/$25.

All 11 benchmarks improved, with DeepSWE 77.0 beating Opus 5's 74.0 and leads on Automation-Bench, Agents' Last Exam and Apex Bench, though Opus 5 still wins HLE and Terminal-Bench; pricing unchanged and MIT-licensed.

A user says DeepSeek is very capable and uses it to orchestrate its own DS sub-agents along with Codex and Grok, noting a new version just shipped.