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Radar

Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.

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Model A
Grok 4.20

xAI

55.2/100

Estimated · Public rank #96

90% interval 38.3–72.1

Grok 4.20 vs Qwen3.6 Plus

Updated August 19, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Qwen3.6 Plus

Alibaba

64.8/100

Supported · Public rank #37

90% interval 55.8–73.9

Decision reading

Qwen3.6 Plus has the higher public score estimate, 64.81 versus 55.17, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

7 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Qwen3.6 Plus

    Qwen3.6 Plus leads on the same 2 weighted benchmark rows.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Qwen3.6 Plus

    Qwen3.6 Plus leads on the same 1 weighted benchmark row.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Grok 4.20

    Grok 4.20 has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: rate-fallback

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
7
Grok 4.20 only
11
Qwen3.6 Plus only
37
Like-for-like categories
3 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Like-for-like
Grok 4.20
47.1
Qwen3.6 Plus
61.6
Weighted basis
1 vs 1 rows
Reading
Qwen3.6 Plus leads

Coding

Like-for-like
Grok 4.20
67.1
Qwen3.6 Plus
70.3
Weighted basis
2 vs 2 rows
Reading
Qwen3.6 Plus leads

Multimodal

Like-for-like
Grok 4.20
70.1
Qwen3.6 Plus
79.8
Weighted basis
2 vs 2 rows
Reading
Qwen3.6 Plus leads

Reasoning

Not comparable
Grok 4.20
53.3
Qwen3.6 Plus
62.0
Weighted basis
1 vs 1 rows
Reading
Not comparable

Knowledge

Not comparable
Grok 4.20
Not measured
Qwen3.6 Plus
57.1
Weighted basis
0 vs 4 rows
Reading
Not comparable

Math

Not comparable
Grok 4.20
Not measured
Qwen3.6 Plus
60.5
Weighted basis
0 vs 4 rows
Reading
Not comparable

Multilingual

Not comparable
Grok 4.20
Not measured
Qwen3.6 Plus
84.7
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Grok 4.20
Not measured
Qwen3.6 Plus
82.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Grok 4.20
$0.005
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Grok 4.20
$0.118
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Grok 4.20
$0.5
Fits in one request
Cached input priced at the published list-input rate
Qwen3.6 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6 Plus has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Grok 4.20

2M

Qwen3.6 Plus

1M

API model ID

Grok 4.20

Not sourced

Qwen3.6 Plus

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Grok 4.20

Not published

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Grok 4.20

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Grok 4.20

Not sourced

Qwen3.6 Plus

Not sourced

Provider availability

Grok 4.20

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Grok 4.20

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Grok 4.20

Proprietary

Qwen3.6 Plus

Proprietary

License

Grok 4.20

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Grok 4.20

2026-03-10

Qwen3.6 Plus

2026-04-02

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Qwen3.6 Plus has the higher public score estimate, 64.81 versus 55.17, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Grok 4.20 has the larger documented window (2M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence55 rows

Agentic

  • Terminal-Bench 2.0

    Grok 4.2047.1%
    Source
    Qwen3.6 Plus61.6%
    Source

    Qwen3.6 Plus leads this result

  • DeepSearchQA

    Grok 4.2062.8%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • Grok 4.2038.36%
    Qwen3.6 Plus50.60%

    Qwen3.6 Plus leads this result

  • Claw-Eval

    Grok 4.20
    Qwen3.6 Plus58.8%
    Source

    Not directly comparable

  • QwenClawBench

    Grok 4.20
    Qwen3.6 Plus57.2%
    Source

    Not directly comparable

  • τ³-bench results

    Grok 4.20
    Qwen3.6 Plus70.7%
    Source

    Not directly comparable

  • VITA-Bench

    Grok 4.20
    Qwen3.6 Plus44.3%
    Source

    Not directly comparable

  • DeepPlanning

    Grok 4.20
    Qwen3.6 Plus41.5%
    Source

    Not directly comparable

  • Toolathlon

    Grok 4.20
    Qwen3.6 Plus39.8%
    Source

    Not directly comparable

  • MCP Atlas

    Grok 4.20
    Qwen3.6 Plus48.2%
    Source

    Not directly comparable

  • MCP-Tasks

    Grok 4.20
    Qwen3.6 Plus74.1%
    Source

    Not directly comparable

  • WideResearch

    Grok 4.20
    Qwen3.6 Plus74.3%
    Source

    Not directly comparable

  • ResearchClawBench

    Grok 4.20
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

Coding

  • LiveCodeBench Pro

    Grok 4.2074.2%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • SWE-bench Verified

    Grok 4.2076.7%
    Source
    Qwen3.6 Plus78.8%
    Source

    Qwen3.6 Plus leads this result

  • SWE-bench Pro

    Grok 4.2051.8%
    Source
    Qwen3.6 Plus56.6%
    Source

    Qwen3.6 Plus leads this result

  • Vibe Code Bench

    Shared source
    Grok 4.204.06%
    Qwen3.6 Plus25.56%

    Qwen3.6 Plus leads this result

  • SWE Multilingual

    Grok 4.20
    Qwen3.6 Plus73.8%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Grok 4.20
    Qwen3.6 Plus87.1%
    Source

    Not directly comparable

  • EEBench

    Grok 4.20
    Qwen3.6 Plus12.7%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Grok 4.2053.3%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • ARC-AGI-3

    Grok 4.200.1%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • AI-Needle

    Grok 4.20
    Qwen3.6 Plus68.3%
    Source

    Not directly comparable

  • LongBench v2

    Grok 4.20
    Qwen3.6 Plus62%
    Source

    Not directly comparable

Knowledge

  • GPQA-D

    Grok 4.2088.5%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • HLE w/o tools

    Grok 4.2031.6%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • HealthBench Hard

    Grok 4.2020.3%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • MedXpertQA (Text)

    Grok 4.2050.2%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • GPQA

    Grok 4.20
    Qwen3.6 Plus90.4%
    Source

    Not directly comparable

  • SuperGPQA

    Grok 4.20
    Qwen3.6 Plus71.6%
    Source

    Not directly comparable

  • MMLU-Pro

    Grok 4.20
    Qwen3.6 Plus88.5%
    Source

    Not directly comparable

  • MMLU-Redux

    Grok 4.20
    Qwen3.6 Plus94.5%
    Source

    Not directly comparable

  • C-Eval

    Grok 4.20
    Qwen3.6 Plus93.3%
    Source

    Not directly comparable

  • HLE

    Grok 4.20
    Qwen3.6 Plus28.8%
    Source

    Not directly comparable

Math

  • AIME26

    Grok 4.20
    Qwen3.6 Plus95.3%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Grok 4.20
    Qwen3.6 Plus96.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Grok 4.20
    Qwen3.6 Plus94.6%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Grok 4.20
    Qwen3.6 Plus87.8%
    Source

    Not directly comparable

  • MMAnswerBench

    Grok 4.20
    Qwen3.6 Plus83.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Grok 4.20
    Qwen3.6 Plus26.207%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Grok 4.20
    Qwen3.6 Plus8.333%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Grok 4.20
    Qwen3.6 Plus84.7%
    Source

    Not directly comparable

  • NOVA-63

    Grok 4.20
    Qwen3.6 Plus57.9%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Grok 4.2075.2%
    Source
    Qwen3.6 Plus78.8%
    Source

    Qwen3.6 Plus leads this result

  • CharXiv

    Grok 4.2060.9%
    Source
    Qwen3.6 Plus81.5%
    Source

    Qwen3.6 Plus leads this result

  • ERQA

    Grok 4.2054.1%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • SimpleVQA

    Grok 4.2057.4%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • MedXpertQA (MM)

    Grok 4.2065.8%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • MMMU

    Grok 4.20
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • MathVision

    Grok 4.20
    Qwen3.6 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    Grok 4.20
    Qwen3.6 Plus84.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Grok 4.20
    Qwen3.6 Plus68.2%
    Source

    Not directly comparable

  • V*

    Grok 4.20
    Qwen3.6 Plus96.9%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Grok 4.20
    Qwen3.6 Plus94.3%
    Source

    Not directly comparable

  • IFBench

    Grok 4.20
    Qwen3.6 Plus75.8%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Grok 4.20 or Qwen3.6 Plus?

Qwen3.6 Plus has the higher public score estimate, 64.81 versus 55.17, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Grok 4.20 or Qwen3.6 Plus?

Qwen3.6 Plus leads the like-for-like coding comparison across 2 shared weighted benchmark rows.

Which is better for agentic tasks, Grok 4.20 or Qwen3.6 Plus?

Qwen3.6 Plus leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.

Which costs less, Grok 4.20 or Qwen3.6 Plus?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Grok 4.20 or Qwen3.6 Plus?

Grok 4.20 has the larger documented context window: 2M, compared with 1M.

Related comparisons

Last updated August 19, 2026

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