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AI Choice Engine

Model comparison

Grok 4.7 vs Qwen 3.7 Max

SpaceXAI against Qwen, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

SpaceXAI

Grok 4.7

Frontier

vs

Qwen

Qwen 3.7 Max

Frontier

AI model capability comparison
SpecificationGrok 4.7Qwen 3.7 Max
ProviderSpaceXAIQwen
TierFrontierFrontier
Context window500KWinner: 1M
Max outputNot verifiedUnverified128K
Input / 1M tokensWinner: $2$2.50
Output / 1M tokensWinner: $6$7.50
WeightsClosedClosed
Parametersnew, larger base model with longer RL on multi-hour tasksproprietary MoE
Reasoning levelslow, medium, high, xhighlow, high, max
Modalitiestext, imagetext, image, video
API model idgrok-4.7qwen3.7-max
ReleasedSeptember 21, 2026May 20, 2026
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)46.4Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-09-26)Not verifiedUnverified29.5
DeepSWE 1.1 [high] (2026-09-21)71Not verifiedUnverified
Terminal-Bench 4.0 [xhigh] (2026-09-26)25.8Not verifiedUnverified

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

  • 2026-09-26
    Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)

    Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.

    Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.

  • 2026-09-26
    Artificial Analysis

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.

  • 2026-09-21
    xAI — Grok 4.7 announcement (vendor; not yet on Datacurve's board)

    Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.

    Directly comparable

Pricing tiers

Grok 4.7: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.

Qwen 3.7 Max: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.

FrontierRecord checked September 26, 2026

Grok 4.7

Grok 4.7 is xAI's flagship since 2026-09-21 — a larger new base model with longer RL on multi-hour tasks, at Grok 4.6's $2/$6 price.

Best for

  • Coding agents
  • Cost-sensitive frontier work
  • Cursor and GitHub Copilot users

Watch out

Token rates double above a 200K-token prompt and there is no Batch API; the DeepSWE figure is vendor-reported.

FrontierRecord checked September 26, 2026

Qwen 3.7 Max

Qwen 3.7 Max is Alibaba's previous-generation proprietary flagship with a 1M-token context.

Best for

  • API-only multimodal
  • Long-context
  • Enterprise

Watch out

Model Studio now lists it under legacy models ('no longer recommended'); succeeded by Qwen 3.8 Max. Closed weights.

When the cheaper one wins

Grok 4.7 is cheaper on output at $6 per million tokens against $7.50 for Qwen 3.7 Max — about 1.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 4/5 core specs verified on both sides — Not published for at least one side: max output.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 2 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Grok 4.7 · Qwen 3.7 Max

Common questions

Grok 4.7 vs Qwen 3.7 Max

Answered from the verified figures on this page rather than general guidance.

Is Grok 4.7 or Qwen 3.7 Max cheaper for input?
Grok 4.7 is cheaper at $2 per million input tokens, against $2.50 for Qwen 3.7 Max — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Is Grok 4.7 or Qwen 3.7 Max cheaper for output?
Grok 4.7 is cheaper at $6 per million output tokens, against $7.50 for Qwen 3.7 Max — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Grok 4.7 has tiered pricing: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Which has the larger context window, Grok 4.7 or Qwen 3.7 Max?
Qwen 3.7 Max accepts 1M tokens against 500K for Grok 4.7. This only matters if you routinely send very long documents or large codebases.
Do Grok 4.7 and Qwen 3.7 Max support the same reasoning levels?
Grok 4.7 exposes low, medium, high, xhigh, while Qwen 3.7 Max exposes low, high, max.
Should I use Grok 4.7 or Qwen 3.7 Max?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Grok 4.7 suits coding agents; Qwen 3.7 Max suits api-only multimodal.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Grok 4.7 costs $2 per 1M tokens versus $2.50 for Qwen 3.7 Max — a 1.3x difference at the headline tier.
  • Context: Qwen 3.7 Max takes 1M against 500K for Grok 4.7 — only decisive if your prompts approach the smaller window.
  • Measured capability: Grok 4.7 leads Artificial Analysis Intelligence Index 46.4 to 29.5 (measured 2026-09-26).
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