Head-to-head

Grok 4.3 logovsGPT-5.2 logo

Grok 4.3 vs GPT-5.2: which AI model wins in 2026?

Grok 4.3 ($2.50/1M out) and GPT-5.2 ($14/1M out) are two of the most-used AI models in 2026. Across 2 community votes, Grok 4.3 leads with 50% approval.

Quick verdict

On Reasoning, Grok 4.3 and GPT-5.2 are tied at 4/5. On budget, Grok 4.3 wins: it starts at $2.50/1M out versus $14/1M out for GPT-5.2.

Line-by-line comparison

From
$2.50/1M outFlat $1.25 in / $2.50 out across all reasoning-effort tiers; cached input $0.20/1M. xAI's own pricing page shows no long-context surcharge, but OpenRouter lists tiered higher rates above 200K total tokens.
$14/1M outBase gpt-5.2 (Thinking) at $1.75/$14 per 1M; gpt-5.2-pro tier at $21/$168; cached input $0.175 (90% discount).
Provider
xAI
OpenAI
Context window
1M tokens
400K tokens (128K max output)
Input price
$1.25/1M in
$1.75/1M in
Output price
$2.50/1M out
$14/1M out
Modalities
text, vision (text output only)
text, vision (text output only)
Open weights
No
No
Crowd score
50%(0)
50%(2)
Arena ratings (1-5)
Reasoning
4.0
4.0
Coding
3.5
4.0
Writing
4.5
3.5
Speed
3.5
2.5
Value
4.5
3.5

Strengths and weaknesses

Grok 4.3

  • Aggressive pricing: $1.25/$2.50 per 1M tokens, 58% cheaper input and 83% cheaper output than Grok 4, undercutting GPT-5.5 and Gemini 3.1 Pro
  • Major agentic leap: +321 Elo on GDPval-AA versus Grok 4.20, with strong tool calling and instruction following
  • Cached input at $0.20/1M (84% discount), a big saver for repeated agent loops
  • Configurable reasoning effort (none/low/medium/high) in one model at one price, no routing between fast and deep variants
  • Praised on HN for natural, concise tone and token-dense outputs that lower real-world costs
  • Solid throughput around 130 output tokens/sec (Artificial Analysis)
  • Coding reasoning judged 'not competitive with the big April releases' by HN developers; intelligence frontier barely moved since Grok 4
  • Non-hallucination score dropped 8 points vs Grok 4.20 on AA-Omniscience; 4.20 remains xAI's safer pick for precision-critical domains
  • High time to first token (~13s at high reasoning effort per Artificial Analysis), painful for interactive apps
  • Context window shrank to 1M from Grok 4.20's 2M
  • Recurring trust and safety complaints (harmful content reports, inconsistent behavior) and no MCP/connected-apps support in the consumer app

GPT-5.2

  • 80.0% SWE-bench Verified and 55.6% SWE-Bench Pro at launch, near parity with Claude Opus 4.5 (80.9%)
  • GDPval: ties or beats human professionals in 70.9% of comparisons, nearly double GPT-5.1's 38.8%
  • Strong science and math: 92.4% GPQA Diamond (Thinking, 93.2% Pro) and 40.3% FrontierMath, state of the art at release
  • 400K context with near-perfect MRCR v2 long-context retrieval up to 256K tokens
  • 30% fewer hallucinations than GPT-5.1 (error rate on real ChatGPT queries down from 8.8% to 6.2%)
  • Cheaper than its successors: $1.75/$14 per 1M vs $2.50/$15 (GPT-5.4) and $5/$30 (GPT-5.5)
  • Speed is the top community complaint: extended thinking reported as low as ~4 tokens/s in ChatGPT, and Pro can think for a very long time and still fail
  • Headline benchmark scores were obtained at xhigh reasoning effort, which consumes far more tokens and time than default settings
  • Widely criticized personality regression vs GPT-5.1: Reddit users called it 'too corporate, too safe' and 'a step backwards' for chat and writing
  • Coding lags Anthropic's line in head-to-head Elo comparisons (a later Opus 4.7 analysis cited a 144 Elo gap); no audio modality, no fine-tuning
  • Already superseded as of mid-2026: OpenAI recommends GPT-5.5 and GPT-5.2 no longer appears on the main API pricing page

Cast your verdict

One recommendation per tool per gladiator. It reshapes the crowd score everyone sees.

Grok 4.3$2.50/1M out
50%crowd score · 0
GPT-5.2$14/1M out
50%crowd score · 2

The arena’s verdict on Grok 4.3

Pick Grok 4.3 if you run agentic or high-volume pipelines where cost per call dominates: it delivers near-frontier reasoning and a big tool-calling jump over Grok 4.20 at a fraction of GPT-5.5 or Gemini 3.1 Pro pricing. Skip it if coding precision is your priority, as developers still rank Claude and the big April releases ahead. Also stay on Grok 4.20 if you need its 2M context or its better non-hallucination score for legal, medical, or compliance work. Latency-sensitive apps should test the ~13s time to first token before committing.

The arena’s verdict on GPT-5.2

Pick GPT-5.2 over GPT-5.1 for heavy reasoning, long-context, or agentic work: it nearly doubles GPT-5.1's GDPval win rate, cuts hallucinations 30%, and handles 400K contexts reliably. In mid-2026 it is mainly a value play, priced at $1.75/$14 versus $5/$30 for GPT-5.5 while staying competent on most professional tasks. Avoid it for latency-sensitive chat and creative writing, where users found it slow and flatter than GPT-5.1. Teams that want OpenAI's current frontier should pay up for GPT-5.5 instead.

What the crowd says

On Grok 4.3

No verdicts yet. Be the first to speak.

On GPT-5.2

No Refundius

The thinking speed is brutal, I clocked something like 4 tok/s in ChatGPT on extended thinking. Pro will grind for ages and still whiff. Great scores, painful to actually use.

Saint Deployus

GDPval numbers are wild, it ties or beats human pros in 71% of comparisons. For science and math work (92.4 GPQA Diamond) it earned a spot in my stack.

Frequently asked questions

Is Grok 4.3 better than GPT-5.2?

The right pick depends on your use case. The line-by-line comparison on this page breaks down pricing, key specs and arena ratings.

Which is cheaper, Grok 4.3 or GPT-5.2?

Grok 4.3 is cheaper: it starts at $2.50/1M out, while GPT-5.2 starts at $14/1M out.

How much do Grok 4.3 and GPT-5.2 cost per 1M tokens?

Grok 4.3: $1.25/1M in per 1M input tokens, $2.50/1M out per 1M output tokens. GPT-5.2: $1.75/1M in per 1M input tokens, $14/1M out per 1M output tokens.