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DeepSeek V4 Flash 0423 vs GPT-6.1 Sol: price, context and ranking
As of 25 October 2026, DeepSeek V4 Flash 0423 costs $0.091 per million input tokens and $0.182 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. On the LMArena text leaderboard GPT-6.1 Sol scores 1,444.1 against 1,431.9 for DeepSeek V4 Flash 0423, a gap of 12.2 points.
- Score gap
- 12.2
- Blended price
- $0.1138 / $4.00
LMArena
per 1M tokens
Side by side
| Field | DeepSeek V4 Flash 0423 | GPT-6.1 Sol |
|---|---|---|
| Company | DeepSeek | OpenAI |
| Input price per 1M tokens | $0.091 | $2.00 |
| Output price per 1M tokens | $0.182 | $10.00 |
| Blended price per 1M tokens (3:1) | $0.1138 | $4.00 |
| Context window | 1,048,576 | 1,050,000 |
| LMArena score | 1,431.9 | 1,444.1 |
| LMArena rank | 91 | 66 |
| Arena score per dollar | 12,588.1 | 361.0 |
| Usage share, 7 days | 1.5% | 1.5% |
| Providers | 15 | 8 |
| Added to OpenRouter | 2026-04-24 | 2026-09-29 |
Frequently asked questions
Which is cheaper, DeepSeek V4 Flash 0423 or GPT-6.1 Sol?
DeepSeek V4 Flash 0423 is cheaper at a blended $0.1138 per million tokens (three parts input to one part output), against $4.00 for GPT-6.1 Sol.
Which scores higher on LMArena, DeepSeek V4 Flash 0423 or GPT-6.1 Sol?
GPT-6.1 Sol ranks higher on LMArena (1,444.1 against 1,431.9).
Which has the longer context window, DeepSeek V4 Flash 0423 or GPT-6.1 Sol?
GPT-6.1 Sol has the longer context window, 1.05M tokens against 1.05M for DeepSeek V4 Flash 0423.
Methodology and sources
The catalogue, prices, context lengths and provider counts come from OpenRouter's public Models API. They are fetched every day at 06:00 Istanbul time and stored as a daily snapshot. Weekly changes are calculated by Oesnada by comparing those snapshots; there is no data before 16 October 2026.
Usage shares are calculated from the daily token totals of OpenRouter's Data API: a model's tokens over the past 7 days divided by all tokens in the same period, including the aggregated long tail outside the top 50. Token counts come from each provider's own tokenizer and are not directly comparable across providers. The data is published by OpenRouter under CC BY 4.0. Variants such as ":free" are counted separately, so shares here can differ from OpenRouter's own ranking page.
Quality rankings come from LMArena's text (overall) leaderboard. A model is matched only when its name matches exactly; if a model has several listings, the highest-scoring one is used. "Frontier" means a model in the LMArena top 15.
"Best value" divides the LMArena score by the blended price (three parts input to one part output). Arena scores are not a linear scale, so the ratio is a rough guide. This page is produced automatically.
- OpenRouter Models API
- OpenRouter Rankings (Data API) (CC BY 4.0)
- LMArena leaderboard dataset (CC BY 4.0)
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Importance 95/100
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Cite this page
Oesnada, "DeepSeek V4 Flash 0423 vs GPT-6.1 Sol: price, context and ranking", https://oesnada.com/ai-models/compare/deepseek-deepseek-v4-flash-vs-openai-gpt-6-1-sol, accessed 25 October 2026.