DeepSeek-V4.1-Flash vs GPT-6 Astra: Specs & Benchmark Comparison

DeepSeek-V4.1-Flash is developed by DeepSeek, while GPT-6 Astra comes from OpenAI. Both were released in September 2026. DeepSeek-V4.1-Flash has a published size of about 552 billion parameters; OpenAI has not disclosed the parameter count of GPT-6 Astra.

The two models share 8 published benchmarks. GPT-6 Astra leads on 5 of them, DeepSeek-V4.1-Flash on 3. The widest gaps are on Agents' Last Exam, where GPT-6 Astra scores 59.3% against 31.8%; ExploitGym, where GPT-6 Astra scores 42.4% against 15.3%. Averaged across everything we track, DeepSeek-V4.1-Flash sits at 60.2% and GPT-6 Astra at 74.4%.

DeepSeek-V4.1-Flash is the cheaper API at $0.30 per million input tokens and $1.20 per million output tokens, roughly 33 times cheaper than GPT-6 Astra at $10 and $50. Both accept a context window of about 1M tokens. Both accept text and images as input.

CharacteristicDeepSeek-V4.1-FlashGPT-6 Astra
CompanyDeepSeekOpenAI
Release DateSeptember 10, 2026September 4, 2026
Parameters552B—
MultimodalYesYes
Context (input)1.0M1.1M
Context (output)393K128K
Input Price / 1M$0.30$10.00
Output Price / 1M$1.20$50.00
Average Score60.2%74.4%
Benchmarks
Agents' Last Exam31.8%59.3%
ExploitGym15.3%42.4%
Terminal-Bench 4.031.2%57.7%
SEC-bench Pro62.8%85.4%
AutomationBench54.8%41.4%
Humanity's Last Exam (with tools, text-only)63.9%57.2%
GPQA Diamond90.9%96.0%
DeepSWE 1.174.2%74.1%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
GPT-6 Astra
Agents' Last Exam0.3 vs 0.6
0.3
0.6
ExploitGym0.2 vs 0.4
0.2
0.4
Terminal-Bench 4.00.3 vs 0.6
0.3
0.6
SEC-bench Pro0.6 vs 0.9
0.6
0.9
AutomationBench0.5 vs 0.4
0.5
0.4
Humanity's Last Exam (with tools, text-only)0.6 vs 0.6
0.6
0.6
GPQA Diamond0.9 vs 1.0
0.9
1.0
DeepSWE 1.10.7 vs 0.7
0.7
0.7

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4.1-Flash — 0.6, GPT-6 Astra — 0.7.

API Cost

DeepSeek-V4.1-Flash is 40.0x cheaper: input $0.30/1M vs $10.00/1M tokens.

Context Window

GPT-6 Astra supports a larger context: 1M vs 1M tokens.

Recency

Both models were released around the same time: 9/10/2026 and 9/4/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4.1-Flash or GPT-6 Astra?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4.1-Flash or GPT-6 Astra?
DeepSeek-V4.1-Flash is cheaper for input: $0.30 per 1M tokens vs $10.00.
Which has a larger context window — DeepSeek-V4.1-Flash or GPT-6 Astra?
GPT-6 Astra supports a larger context: 1,050,000 tokens vs 1,048,576.

The DeepSeek-V4.1-Flash and GPT-6 Astra comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4.1-Flash or GPT-6 Astra page. See also the complete list of AI model comparisons.