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Reviews and evidence

Grok 4.6 · Media / benchmark · Editorial analysis

Medium Line-by-Line Analysis: Grok 4.6 Compared with Sol and Fable

Article conclusion Based on the ten-row evaluation table released by xAI, the author counted each result: among the 9 rows with scores for both Grok 4.6 and GPT-5.6 Sol Max, Grok 4.6 won 6 and lost only on DeepSWE v1.1 and Terminal-Bench v3.0; in the ten-row c。

Unverified: the original source could not be rechecked. Historical figures below are not current verified results.

Media / benchmarkEditorial analysisEdited 2026-09-20

Test conditions

Model and version
Grok 4.6; source title “Medium Line-by-Line Analysis: Grok 4.6 Compared with Sol and Fable”; do not merge other versions or reasoning tiers.
Task and harness
Article conclusion Based on the ten-row evaluation table released by xAI, the author counted each result: among the 9 rows with scores for both Grok 4.6 and GPT-5.6 Sol Max, Grok 4.6 won 6 and lost only on DeepSWE v1.1 a The complete task set and runtime parameters are not fully public.
Sample and date
Source note reviewed 2026-09-20; sample count, repeats, and raw logs remain unknown where undisclosed.

Key data and applicable tasks

Article conclusion

Based on the ten-row evaluation table released by xAI, the author counted each result: among the 9 rows with scores for both Grok 4.6 and GPT-5.6 Sol Max, Grok 4.6 won 6 and lost only on DeepSWE v1.1 and Terminal-Bench v3.0; in the ten-row comparison with Fable 5 Max, Grok won 3 rows and lost 7.

Highlights listed in the article

  • Intelligence Index: Grok 4.6 and Sol Max both scored 61, while Fable 5 Max scored 62.

  • GDPval-AA v2: Grok scored 1753, above Sol's 1728 and Fable's 1741.

  • AA-Briefcase: Grok scored 1577, above Sol's 1502 and slightly above Fable's 1574.

  • Harvey LAB: Grok scored 15.8%, versus 2.5% for Sol and 11.3% for Fable. The author argues that this sixfold gap looks more like a signal of differences in evaluation criteria or model adaptation, and should not by itself be used to prove a gap in legal capability.

  • CursorBench v3.2: Grok scored 69.9%, slightly below Fable's 70.5%.

  • DeepSWE v1.1: Grok scored 65.9%, below Sol's 73% but clearly above Grok 4.5's 54%.

  • Terminal-Bench v3.0: Grok scored 26%, below Sol's 34.6% and Fable's 34.1%.

  • APEX-Agents: Grok scored 57.5%, above Sol's 56.7% but below Fable's 59.2%.

The article's criticism

The author points out that xAI's table mixes different reasoning efforts and different test harnesses: Grok 4.6 and Grok 4.5 use High, while the competitors use Max; the competitor figures are also self-reported or publicly available scores. Therefore, "won 6/9" is a count of the published figures, not a new experiment under uniform conditions.

This article is useful for identifying strengths and gaps in the scorecard, but it cannot replace testing on the same codebase and under the same Agent harness.

What this supports

  • Supports reading the task observation or editorial conclusion in “Medium Line-by-Line Analysis: Grok 4.6 Compared with Sol and Fable” under the stated source conditions.

What this does not support

  • Does not support extending “Medium Line-by-Line Analysis: Grok 4.6 Compared with Sol and Fable” to a universal ranking or production guarantee; its task set, runtime parameters, and independent repeats are limited or undisclosed.

Method, limits, and reproduction

The figures, task set, reasoning tier, and client conditions apply only to the listed source and collection snapshot. Different versions, harnesses, or providers must not be compared directly; undisclosed parameters remain unknown.

For a reproduction, fix the model version, provider or client, reasoning tier, tools, task-set version, sample count, and collection date, and record failures, retries, and human corrections. Full steps are in the source notes below.

Original source

Medium / Data Science Collective · Mehmet Özel · Original publication date 2026-08-13 · Site edit date 2026-09-20

Open original source

Grok 4.6

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Read the full analysis

Overview · English

Grok 4.6: What Changed, What It Costs, and Who It Fits

A sourced guide to Grok 4.6: the 500K context model, benchmark-version split, live API price and a safer pilot decision.

Comparison · English

Grok 4.7 vs Grok 4.6: Same Rate, Longer Bills

Grok 4.7 lists the same $2/$6 API rate and 500K context as Grok 4.6. At xhigh it used about 81k output tokens per intelligence task, versus 36k.

Related reviews

Artificial Analysis: Intelligence and Cost Evaluation of Grok 4.6This evidence note covers “Artificial Analysis: Intelligence and Cost Evaluation of Grok 4.6” under stated conditions; its version, sample, and runtime limits do not support a universal ranking or current production guarantee.Grok 4.6 Official Release: Benchmarks and Capability EvaluationThis evidence note covers “Grok 4.6 Official Release: Benchmarks and Capability Evaluation” under stated conditions; its version, sample, and runtime limits do not support a universal ranking or current production guarantee.Emergent: Breaking Down Grok 4.6's Evaluation ResultsEmergent argues that Grok 4.6's public results show a clear capability distribution: it is strong on knowledge-work evaluations but relatively weaker on pure software-engineering evaluations. Its Intelligence Index is 61, tied with GPT-5.6 Sol; but on DeepSWE 。KIE: Grok 4.6 Release Evaluation and Capability BreakdownArticle conclusion KIE summarizes Grok 4.6's Intelligence Index as 61, tied with GPT-5.6 Sol; its price is $2 for input and $6 for output per 1M tokens. The article argues that its main selling point is its price-to-intelligence ratio, rather than leading on e。X: Nikolai Yakovenko on the Single-Prompt Playable-Game PatternThe author believes that making a playable game with a “one-sentence prompt” has become a common benchmark when a new model or Agent harness is released. The comments showed a case in which Grok 4.6 generated a simulation of Phantasy Star 1 and an AI Agent ope。Venice: Four Grok 4.6 Prompt Tips and TemplatesTurn “Venice: Four Grok 4.6 Prompt Tips and Templates” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the source and model state before use.X: Matthew Berman's Creator Profile Card PromptTurn “X: Matthew Berman's Creator Profile Card Prompt” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the source and model state before use.X: Shawn's Grok 4.6 Single-Prompt 3D Ship CaseTurn “X: Shawn's Grok 4.6 Single-Prompt 3D Ship Case” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the source and model state before use.