Standard Compute
Model Comparison 2026

DeepSeek V4 Flash vs GPT-5.6 Sol

DeepSeek V4 Flash
DeepSeek · Budget · Open weights
$0.18/1M · 1.0M ctx
GPT-5.6 Sol
OpenAI · Frontier · Proprietary
$13/1M · 1.1M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime. 1 votes cast so far.

Output Quality
Correctness and depth of what it produces
DeepSeek V4 Flash 100%0% Sol
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
DeepSeek V4 Flash
Sol
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.18
$13
Input / output
$0.14 in · $0.28 out / 1M tokens
$5.00 in · $30 out / 1M tokens
Context window
1.0M
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
9.7
Agentic Ability
8.1
9.6
Speed
9.0
7.4
Value for $
10.0
7.8
Reliability
8.9
9.3

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: DeepSeek V4 Flash or Sol?

Updated 2026-08-02

Choose DeepSeek V4 Flash if you want cheap, high-volume open-weight agent steps. Choose GPT-5.6 Sol if you want hard coding and research tasks for teams in the OpenAI ecosystem.

In our editorial scoring, GPT-5.6 Sol leads in 3 of five dimensions (output quality, agentic ability and reliability), while DeepSeek V4 Flash leads in 2. On price, DeepSeek V4 Flash runs about $0.18 per 1M tokens (blended) and is open-weight; GPT-5.6 Sol is about $13 and proprietary.

Across 1 community votes on this matchup, DeepSeek V4 Flash currently leads in 1 of five dimensions. Cast your own vote above to move the needle.

Where DeepSeek V4 Flash falls short
  • Not for the hardest tasks
  • Quality below V4 Pro
Full DeepSeek V4 Flash breakdown →
Where Sol falls short
  • Very new — real-world agent track record still forming
  • Slower and pricier than Terra for routine work
Full Sol breakdown →

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