DeepSeek V4.1 Flash (Free)

deepseek/deepseek-v4.1-flash-free
FREE
VisionToolsJSONReasoning
by DeepSeek

DeepSeek-V4.1-Flash is the smallest model in DeepSeek's new architecture family, released September 10, 2026, with native multimodal visual understanding — the production successor to both V4 Flash and the V4 Flash Vision experiment. The new architecture targets a higher capability ceiling, faster inference and higher throughput, and DeepSeek reports V4.1 Flash comprehensively surpasses V4 Pro on performance, cost, speed and total task time. It accepts text and images with text output, serves a 1M-token context window with up to 384K output tokens, and supports thinking (default, with selectable effort low / high / max) and non-thinking modes across the Chat Completions, Responses and Anthropic-compatible APIs, along with JSON output, tool calls and chat prefix completion; FIM works in non-thinking mode only. Model weights are open on Hugging Face (deepseek-ai/DeepSeek-V4.1-Flash). Official benchmarks at release: 90.6 on Terminal-Bench 2.1, 74.2 on DeepSWE v1.1, 65.4 on NL2Repo-Bench, 90.9 on GPQA Diamond, 63.9 on HLE with tools, and strong native-vision agent results (89.6 BabyVision, 78.9 Chartography with tools). Pricing was cut alongside the release: $0.15/M input (cache miss), $0.60/M output and $0.003/M on cache hits at off-peak rates, doubling during weekday peak hours (01:00-04:00 and 06:00-10:00 UTC); all other hours including weekends are off-peak.

ctx1M tokens
Max output384K
Inputtext + image
Outputtext
p50 TTFT1.94 s
PRICEFreerate-limited · model usage at $0
p50 TTFT1.94 s7d
p95 TTFT10.00 s7d
TRAFFIC238.2Mtokens / 7d

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key=os.environ["ORCAROUTER_API_KEY"],
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4.1-flash-free",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • include_reasoning
  • logprobs
  • max_tokens
  • reasoning
  • reasoning_effort
  • response_format
  • stop
  • stream
  • stream_options
  • temperature
  • thinking
  • tool_choice
  • tools
  • top_logprobs
  • top_p
  • user_id

Pricing

$0
Pricing
Input / 1M tokens$0
Output / 1M tokens$0
BillingModel usage is never charged to your balance
Over the limitHTTP 429 when a limit is hit

Need it without the limits? deepseek/deepseek-v4.1-flash·How free-tier limits work →

Performance

p50 TTFT
1.94 s
Output speed
211 tok/s
p95 TTFT
10.00 s
Error rate
0.09%

Public benchmarks

39.5
AA Intelligence
Better than 80% of models compared
#29 of 147
Agents' Last Exam
31.8
Automation-Bench
54.8
BabyVision (with tools)
89.6
Chartography (with tools)
78.9
CyberGym
88.1
DeepSWE v1.1
74.2
ExploitGym
15.3
GPQA Diamond
90.9
HLE
36.8
HLE (with tools)
63.9
Humanity's Last Exam
39.2
Long-Context Recall
84.0
MathArena Apex
65.6
NL2Repo-Bench
65.4
ProgramBench
20.3
SciCode
51.9
SEC-Bench Pro
62.8
Terminal-Bench 2.1
90.6
Terminal-Bench 3.0
30.0
Terminal-Bench 4.0
31.2
terminalbench_v4_0
26.8
ZeroBench-main (with tools)
49.0
Source: artificialanalysis.ai, api-docs.deepseek.com

Community buzz

What developers are saying this week

Hacker News1 mentions · 7dup 1 vs the previous week

How it compares

DeepSeek V4.1 Flash (Free)DeepSeek V4 ProDeepSeek V4.1 FlashDeepSeek V4 Flash
Input $/M—$0.66$0.15$0.22
Output $/M—$1.98$0.60$0.66
Context1.0M1.0M1.0M1.0M
Quality—8/108/107/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

FAQ

How much does DeepSeek: DeepSeek V4.1 Flash (Free) cost on OrcaRouter?
DeepSeek: DeepSeek V4.1 Flash (Free) is priced at $0.00 per 1M input tokens and $0.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is DeepSeek: DeepSeek V4.1 Flash (Free)'s context window?
DeepSeek: DeepSeek V4.1 Flash (Free) supports a context window of 1M tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call DeepSeek: DeepSeek V4.1 Flash (Free) via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="deepseek/deepseek-v4.1-flash-free" in the chat.completions.create call.
Does OrcaRouter rate-limit DeepSeek: DeepSeek V4.1 Flash (Free)?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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