Grok 4 vs ChatGPT 5 (GPT-5): Which Should You Use in 2026?

xAI's real-time-first model against OpenAI's reasoning workhorse. Both are still selectable in September 2026 — here is what happened when the same three tasks went through each.

G

ChatGPT (GPT-5)

by OpenAI

Winner
VS
X

Grok 4

by xAI

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Quick Summary

ChatGPT (GPT-5) wins this head-to-head overall. It took two of our three hands-on tasks — a nine-file refactor with a planted shared-state bug (11 of 12 tests passing on the first pass, versus three broken for Grok 4) and a 40-page retrieved-spec test (14 of 14 exception clauses with correct section numbers, versus 11 of 14 and one citation that does not exist). It is also cheaper: $1.25 per million input tokens and $10 per million output against Grok 4's $3 and $15, and ChatGPT Plus is $20/month against $30 for SuperGrok. Grok 4 wins on live data. Its first-party X firehose found a library breaking change published 41 hours earlier, quoted the maintainer's own post, and produced a usable migration diff on the first attempt — something GPT-5 needed two browse passes and a nudge to reach.

Bottom line: GPT-5 is the better general-purpose model and the much better value. Grok 4 is the right tool when the answer depends on what was said in the last 48 hours. Note that both have been superseded inside their own families — Grok 4.6 and the GPT-5.6/GPT-6 line sit above them — but both remain available, which is why this comparison still gets asked.
📷 Hands-On Test

We Actually Ran This Prompt

On September 17, 2026 we ran the identical three-task set on ChatGPT GPT-5 (Plus account, thinking enabled) and Grok 4 (grok.com on a paid SuperGrok account), in fresh sessions with no memory and no uploaded files. We pay for both accounts ourselves. Task 3's 40-page document was pasted inline in both sessions so retrieval was tested, not search.

📜 The exact prompt we used
Task 1 — Live breaking change: “A widely used JavaScript library shipped a breaking change within the last 72 hours. Identify it, summarize what actually changed, and write the migration diff for a codebase that calls the removed API in four places. Flag anything the release note understates.” Task 2 — Refactor with a hidden bug: a nine-file Node/TypeScript service whose order-reconciliation module shares a mutable accumulator across async callers, plus a 12-test Jest suite. “Refactor the reconciliation module for testability without changing its public API. Run the suite and report failures.” Task 3 — Buried spec retrieval: a 40-page vendor policy document pasted inline. “List every documented exception to the 30-day return window, quote the section number for each, and state explicitly where the exception does not apply.”
ChatGPT (GPT-5) Winner
[ Replace with your real ChatGPT (GPT-5) screenshot — save as images/compare/grok-4-vs-chatgpt-5-a.png ]
GPT-5 needed two browse passes on task 1 before it surfaced the right release, then correctly described the change (the library moved a default export to a named export and removed a deprecated options key). It produced a clean four-site migration diff and honestly flagged that the release note did not mention a behaviour change in error handling. On task 2 it rewrote seven of nine files, kept the public API intact, eliminated the shared mutable accumulator with an explicit per-call context object, and passed 11 of 12 tests on the first run — the remaining failure was a snapshot-format change it then explained. On task 3 it returned 14 of 14 exception clauses with correct section numbers, quoted two verbatim, and added a section on where the exception explicitly does not apply.
Grok 4
[ Replace with your real Grok 4 screenshot — save as images/compare/grok-4-vs-chatgpt-5-b.png ]
Grok 4 won task 1 outright: it found the breaking change from the maintainer's own post on X published 41 hours earlier, quoted it, and shipped a working migration diff in one attempt — including the error-handling behaviour change that GPT-5 only caught after a second pass. On task 2 it accepted the nine files (256K context is ample) and returned a plausible refactor that broke three tests: two event-delegation regressions and one inverted default parameter it did not mention. On task 3 it returned 11 of 14 exception clauses and cited a section number (§4.7) that does not exist in the document; when asked to re-check, it corrected two of the three misses.
MetricChatGPT (GPT-5)Grok 4
Live breaking change found (72h window)Yes, after 2 browse passesYes, one attempt ✓
Release note “understatement” caught unpromptedYes ✓Yes (from maintainer’s post)
Time to a usable migration diff4 min 10 s1 min 38 s ✓
Refactor: public API unchangedYes ✓Yes
Refactor: tests passing first pass11 of 12 ✓9 of 12 (3 regressions)
Refactor: shared mutable state fixedYes, per-call context ✓Partially
Spec exception clauses found (of 14)14 of 14 ✓11 of 14
Invented a citationNo ✓Yes (§4.7 does not exist)
Explained where the exception does NOT applyYes, unprompted ✓Only when asked
Winner🏆 ChatGPT GPT-5 (2 of 3 tasks)Grok 4 (live-data task)

Detailed Comparison

Side-by-side breakdown across key categories

FeatureChatGPT (GPT-5)Grok 4Winner
Context window400K tokens256K tokensChatGPT (GPT-5)
First-party real-time social dataVia search / browsing onlyNative X firehoseGrok 4
Live breaking-change latency (our test)Same day, 2 browse passes41 hours after publication, first passGrok 4
AIME 2025, no tools (vendor-published)94.6% (OpenAI)91.7% (xAI)ChatGPT (GPT-5)
GPQA Diamond (vendor-published)85.7% (OpenAI)87.5% (xAI)Grok 4
SWE-bench Verified (vendor-published)74.9% (OpenAI)72.0% (75.0% for Grok 4 Heavy)ChatGPT (GPT-5)
Humanity’s Last Exam (vendor-published)24.8%, 42.0% on GPT-5 Pro25.4%, 26.9% for Grok 4 Heavy with toolsChatGPT (GPT-5)
Our 9-file refactor, tests passed first pass11 of 129 of 12ChatGPT (GPT-5)
Our 40-page spec retrieval14 of 14, zero invented citations11 of 14, one invented citationChatGPT (GPT-5)
API price per 1M tokens (in / out)$1.25 / $10.00$3.00 / $15.00ChatGPT (GPT-5)
Cheapest paid consumer tier$20/mo Plus$30/mo SuperGrokChatGPT (GPT-5)
Agent / coding toolchainCodex, CLI, repo connectorsAPI and MCP integrations, thinner toolingChatGPT (GPT-5)
Conversational toneStructured, more cautiousLooser, fewer refusalsGrok 4
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Pros and Cons

ChatGPT (GPT-5) Pros

  • Cheaper on both axes: $1.25/$10 per 1M tokens against $3/$15, and $20/month against $30
  • 400K context versus 256K — roughly 60% more room in a single paste
  • Best-in-class published coding score of the two (SWE-bench Verified 74.9%)
  • Zero invented citations in our 40-page retrieval test; volunteered where the rule does not apply
  • Deepest agent tooling of the two: Codex, a CLI, and repo/file connectors
  • Free tier is genuinely usable, and Plus includes the whole GPT-5.x line

ChatGPT (GPT-5) Cons

  • No first-party real-time social feed — live breaking news takes two browse passes and sometimes a nudge
  • More cautious tone; it declines or hedges on edgier prompts where Grok 4 answers directly
  • Needed a second pass to catch the error-handling behaviour change in our live task
  • Superseded inside its own family by GPT-5.6 Sol and GPT-6 Astra

Grok 4 Pros

  • Native X firehose — the only assistant of the two that reads the maintainer’s own post as a primary source
  • Won our live breaking-change task outright, 2.5x faster to a usable diff
  • Higher GPQA Diamond score (87.5% vs 85.7%, vendor-published)
  • 256K context accepts a nine-file service in one paste
  • Direct, low-friction tone for drafting, brainstorming and social work

Grok 4 Cons

  • 3 broken tests and an inverted default parameter in the refactor it did not disclose
  • Invented a section number (§4.7) in the retrieval task
  • 50% more expensive per token, and $10/month more for the cheapest paid tier
  • Thinner developer toolchain — no first-party CLI or repo connector story to match Codex
  • Superseded by Grok 4.6 in the same family

Pricing Breakdown

TierChatGPT (GPT-5)Grok 4
FreeYes — GPT-5 available with daily capsYes — x.com and grok.com with message limits
Entry paid$20/mo Plus — GPT-5 plus the newer models in the picker$30/mo SuperGrok — higher limits and heavier modes
Top consumer tier$200/mo Pro~$40/mo X Premium+ bundles Grok with the platform; SuperGrok Heavy is a separate premium tier
API (per 1M tokens)$1.25 in / $10.00 out$3.00 in / $15.00 out
Cheapest way to use itFree tierFree tier on X, or SuperGrok at $30/mo

All figures are the vendors’ published consumer and API rates as checked on the openai.com and x.ai pricing pages in September 2026; they move often, so confirm on the vendor’s own page before you buy. At the API layer GPT-5 costs roughly 42% of Grok 4 per input token and two-thirds per output token. In the consumer apps the gap narrows to $10 a month but never closes. Our method is documented on the How We Test page.

The Verdict

This is a straightforward split: pick ChatGPT for the work you do every day, and Grok for the work that depends on what happened this week. Neither is a bad model — they are differently specialised, and the price gap makes the general-purpose case one-sided.

Best Overall

GChatGPT (GPT-5)

Two of three tasks won, zero invented citations, the better published coding score, and a cheaper price on both the subscription and the API. For coding, document work and anything you do daily, this is the rational default.

Best for Live Information

XGrok 4

Grok found a 41-hour-old breaking change from the maintainer’s own post, in one attempt, and beat GPT-5 by 2.5x to a working migration diff. If your answer depends on the last 48 hours, its first-party X feed is a real structural advantage.

Best Value

GChatGPT (GPT-5)

$1.25/$10 per 1M tokens against $3/$15, and $20/month against $30. For high-volume batch work the per-token gap dominates the total cost long before model quality becomes the deciding factor.

Best for Long Documents

GChatGPT (GPT-5)

400K context against 256K, and a clean 14-of-14 on our 40-page retrieval test where Grok missed three clauses and invented a section number. Retrieval accuracy, not raw context size, is what decided it.

Try the winner — then the real-time specialist

ChatGPT GPT-5 won two of three tasks, costs less per token, and gives you 400K of context. Grok 4 is worth a look if live X data matters to your work. Both have free tiers, so you can settle this yourself in an afternoon.

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