Home › Compare › GPT-6 Sol vs DeepSeek V4 Pro

GPT-6 Sol vs DeepSeek V4 Pro

A straight cost comparison of GPT-6 Sol (OpenAI) and DeepSeek V4 Pro (DeepSeek), per 1,000,000 tokens, verified October 2026.

Rate-by-rate comparison

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

GPT-6 Sol wins 1 of 10, DeepSeek V4 Pro wins 9 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

DeepSeek V4 Pro is cheaper on both sides of the mix: $1.32 vs $2 per million input tokens, and $3.96 vs $10 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Both models publish a cached-read rate, so the discount is comparable: GPT-6 Sol reads cache at $0.20 per million, DeepSeek V4 Pro at $0.044.

Which one should you pick?

GPT-6 Sol wins on nightly batch, while DeepSeek V4 Pro wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag.

Beyond price, the two differ on input rate ($2 vs $1.32); output rate ($10 vs $3.96); cached-input rate ($0.20 vs $0.044); cache-write rate ($2.50 vs —); context window (1,050,000 vs 1,000,000); batch support (yes vs no); long-context tier (yes, above 272,000 vs none).

Batch mode is available on GPT-6 Sol, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is GPT-6 Sol cheaper than DeepSeek V4 Pro?

On a blended 1M-input-plus-250K-output workload, DeepSeek V4 Pro is cheaper by 49% ($2.31 vs $4.50). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, GPT-6 Sol or DeepSeek V4 Pro?

GPT-6 Sol has the larger context window (1,050,000 vs 1,000,000 tokens). Watch the long-context threshold on GPT-6 Sol: rates rise once input passes it.

Do both models support prompt caching?

GPT-6 Sol bills cached reads at $0.20 per 1M; DeepSeek V4 Pro at $0.044.

Related comparisons

• GPT-6.1 Sol vs GPT-6 Sol
• GPT-6 Sol vs GPT-5.6 Terra
• DeepSeek V4.1 Flash vs DeepSeek V4 Pro
• All OpenAI pricing
• All DeepSeek pricing

Run your own token volumes