# DeepSeek V4.1 Flash vs GPT-6 Luna

As of November 12, 2026, GPT-6 Luna costs 11% more per input token than DeepSeek V4.1 Flash ($0.10 vs $0.09 per 1M) and has a 922K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/deepseek-v4.1-flash-vs-gpt-6-luna
- DeepSeek V4.1 Flash: https://models.litellm.ai/models/deepseek-v4.1-flash
- GPT-6 Luna: https://models.litellm.ai/models/gpt-6-luna

## Side by side

| | DeepSeek V4.1 Flash | GPT-6 Luna |
|---|---|---|
| Input, per 1M tokens | $0.09 | $0.10 |
| Output, per 1M tokens | $0.30 | $0.50 |
| Cache read, per 1M tokens | $0.006 | $0.01 |
| Cache write, per 1M tokens | – | $0.125 |
| Context window | 1,048,576 tokens | 922,000 tokens |
| Max output | 1,048,576 tokens | 128,000 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 25 | 13 |
| Price shown is from | Sail | OpenAI |
| Added to LiteLLM | September 11, 2026 | September 22, 2026 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- DeepSeek V4.1 Flash: Sail at $0.09 input per 1M tokens (`sail/deepseek-ai/DeepSeek-V4.1-Flash`)
- GPT-6 Luna: OpenAI at $0.10 input per 1M tokens (`gpt-6-luna`)

## Benchmark scores

| Benchmark | DeepSeek V4.1 Flash | GPT-6 Luna |
|---|---|---|
| Epoch Capabilities Index (Overall) | 156.7 | 156.4 |
| FrontierCode (Coding and agents) | 43.9% (high) | 42.4% (max) |
| APEX-Agents (Coding and agents) | 39.5% | 44.3% (max) |
| GPQA Diamond (Reasoning and knowledge) | 89.8% (max) | 90.5% (max) |
| ARC-AGI-2 (Reasoning and knowledge) | 72.9% (max) | 59.3% (max) |
| SimpleQA Verified (Reasoning and knowledge) | 42.9% (max) | 41.4% (max) |
| FrontierMath (tiers 1-3) (Math) | 67.4% (max) | 78.9% (max) |
| FrontierMath (tier 4) (Math) | 26.8% (max) | 56.1% (max) |
| OTIS Mock AIME 2024-2025 (Math) | 98.3% (max) | 98.9% (max) |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of October 13, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- DeepSeek V4.1 Flash: Costs 10% less per input token: $0.09 vs $0.10 per 1M.
- DeepSeek V4.1 Flash: Larger context window: 1,048,576 vs 922,000 tokens.

## FAQ

### Which is cheaper, DeepSeek V4.1 Flash or GPT-6 Luna?

DeepSeek V4.1 Flash is cheaper at 3 input tokens per output token: $0.1425 per 1M tokens blended ($0.09 input, $0.30 output), versus $0.20 ($0.10 and $0.50) for GPT-6 Luna, as of November 12, 2026.

### Which has the larger context window, DeepSeek V4.1 Flash or GPT-6 Luna?

DeepSeek V4.1 Flash has the larger context window: 1,048,576 tokens, versus 922,000 for GPT-6 Luna.

### Can I switch from DeepSeek V4.1 Flash to GPT-6 Luna without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "sail/deepseek-ai/DeepSeek-V4.1-Flash" to "gpt-6-luna", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.