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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

54.4/100

Estimated · Public rank #92

90% interval 37.5–71.3

Grok 4.20 vs Qwen3.5 Plus

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Qwen3.5 Plus

Alibaba

46.7/100

Estimated · Public rank #147

90% interval 32.8–60.7

Decision reading

Grok 4.20 has the higher public score estimate, 54.41 versus 46.73, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 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.

  • Long documents

    Prompts that approach the documented context limit

    Grok 4.20

    Grok 4.20 has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

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
1
Grok 4.20 only
17
Qwen3.5 Plus only
3
Like-for-like categories
0 / 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

Not comparable
Grok 4.20
47.1
Qwen3.5 Plus
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Grok 4.20
67.1
Qwen3.5 Plus
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Grok 4.20
53.3
Qwen3.5 Plus
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Grok 4.20
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Grok 4.20
Not measured
Qwen3.5 Plus
16.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Grok 4.20
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Grok 4.20
70.1
Qwen3.5 Plus
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Grok 4.20
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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
Qwen3.5 Plus
$0.0016
Fits in one request

Qwen3.5 Plus has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Grok 4.20
$0.118
Fits in one request
Qwen3.5 Plus
$0.0272
Fits in one request

Qwen3.5 Plus has the lower modeled cost

Costs use the listed standard API rates.

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
Qwen3.5 Plus
$0.112
Fits in one request
Cached input priced at the published list-input rate

Qwen3.5 Plus has the lower modeled cost

Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input 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

Qwen3.5 Plus

1M

API model ID

Grok 4.20

Not sourced

Qwen3.5 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

Qwen3.5 Plus

Not published

Documented inputs

Grok 4.20

Not sourced

Qwen3.5 Plus

Not sourced

Documented outputs

Grok 4.20

Not sourced

Qwen3.5 Plus

Not sourced

Provider availability

Grok 4.20

Not sourced

Qwen3.5 Plus

Not sourced

Reasoning profile

Grok 4.20

Reasoning

Qwen3.5 Plus

Reasoning

Weight access

Grok 4.20

Proprietary

Qwen3.5 Plus

Proprietary

License

Grok 4.20

Proprietary

Qwen3.5 Plus

Proprietary

Release date

Grok 4.20

2026-03-10

Qwen3.5 Plus

2026-03-04

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
Grok 4.20 has the higher public score estimate, 54.41 versus 46.73, but the 90% score intervals overlap.
Workload cost
Repository review: $0.118 vs $0.0272. Cache-heavy agent loop: $0.5 vs $0.112.
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 evidence21 rows

Agentic

  • Terminal-Bench 2.0

    Grok 4.2047.1%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • DeepSearchQA

    Grok 4.2062.8%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • Gert Labs

    Grok 4.2038.36%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • JobBench

    Grok 4.20
    Qwen3.5 Plus18.5%
    Source

    Not directly comparable

Coding

  • LiveCodeBench Pro

    Grok 4.2074.2%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • SWE-bench Verified

    Grok 4.2076.7%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • SWE-bench Pro

    Grok 4.2051.8%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • Vibe Code Bench

    Shared source
    Grok 4.204.06%
    Qwen3.5 Plus15.74%

    Qwen3.5 Plus leads this result

Reasoning

  • ARC-AGI-2

    Grok 4.2053.3%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • ARC-AGI-3

    Grok 4.200.1%
    Source
    Qwen3.5 Plus

    Not directly comparable

Knowledge

  • GPQA-D

    Grok 4.2088.5%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • HLE w/o tools

    Grok 4.2031.6%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • HealthBench Hard

    Grok 4.2020.3%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • MedXpertQA (Text)

    Grok 4.2050.2%
    Source
    Qwen3.5 Plus

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Grok 4.20
    Qwen3.5 Plus21.034%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Grok 4.20
    Qwen3.5 Plus2.083%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Grok 4.2075.2%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • CharXiv

    Grok 4.2060.9%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • ERQA

    Grok 4.2054.1%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • SimpleVQA

    Grok 4.2057.4%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • MedXpertQA (MM)

    Grok 4.2065.8%
    Source
    Qwen3.5 Plus

    Not directly comparable

Frequently asked questions

Which is better, Grok 4.20 or Qwen3.5 Plus?

Grok 4.20 has the higher public score estimate, 54.41 versus 46.73, 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 Qwen3.5 Plus?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Grok 4.20 or Qwen3.5 Plus?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Grok 4.20 or Qwen3.5 Plus?

For the stated presets, chat costs $0.005 on Grok 4.20 and $0.0016 on Qwen3.5 Plus; repository review costs $0.118 and $0.0272; the cache-heavy agent loop costs $0.5 and $0.112. Grok 4.20 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Grok 4.20 or Qwen3.5 Plus?

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

Related comparisons

Last updated August 13, 2026

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