Model comparison 2026

DeepSeek V4 Pro vs Gemini 4 Argon

DeepSeek V4 Pro
DeepSeek · Frontier · Open weights
$0.56/1M · 1.0M ctx
Gemini 4 Argon
Google · Frontier · Proprietary
$4.40/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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

Specs and pricing side by side

Spec
DeepSeek V4 Pro
Gemini 4 Argon
Maker
DeepSeek
Google
Blended price / 1M
$0.56
$4.40
Input / output
$0.43 in · $0.85 out / 1M tokens
$2.00 in · $10 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.2
9.3
Agentic Ability
6.1
9.4
Speed
7.7
7.5
Value for money
6.1
5.4
Reliability
8.7
9.2

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

Verdict: DeepSeek V4 Pro or Gemini 4 Argon?

Updated 2026-10-13

Choose DeepSeek V4 Pro if you want self-hosted setups that want DeepSeek's larger V4 model. Choose Gemini 4 Argon if you want hard coding and agent steps where you want a frontier model outside the Claude and GPT families.

In our editorial scoring, Gemini 4 Argon leads in 3 of five dimensions (output quality, agentic ability and reliability), while DeepSeek V4 Pro leads in 2. On price, DeepSeek V4 Pro runs about $0.56 per 1M tokens (blended) and is open-weight; Gemini 4 Argon is about $4.40 and proprietary.

Where DeepSeek V4 Pro falls short
  • DeepSeek V4.1 Flash scores higher and costs less than a quarter as much per request
  • Hosted throughput varies by provider
Full DeepSeek V4 Pro breakdown →
Where Gemini 4 Argon falls short
  • Price doubles to $4/$20 per million on December 1, 2026
  • Not available on the Gemini API free tier or the Google AI Pro plan, per Google
Full Gemini 4 Argon breakdown →

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