Model A

xAI

59.73/100

Supported · Public rank #67

90% interval 50.5–69.0

Grok 4.3 vs Qwen3.6 Plus

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B

Qwen3.6 Plus

Alibaba

60.4/100

Supported · Public rank #64

90% interval 50.8–70.0

Decision reading

Qwen3.6 Plus has the higher public score estimate, 60.4 versus 59.73, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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 public coding lane, 46.9 to 33.6, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Qwen3.6 Plus
Qwen3.6 Plus leads on the public agentic lane, 36 to 26.9, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited

Show secondary and unsupported calls

Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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: listed-rates
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.

7 Shared

41 Qwen3.6 Plus only

Shared results: 7
Grok 4.3 only: 0
Qwen3.6 Plus only: 41
Like-for-like categories: 3 / 8

2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Like-for-like

Grok 4.3: 26.9; Supported · #144/152
Qwen3.6 Plus: 36.0; Supported · #132/152
Basis: BenchAlign lane · 3 vs 13 public rows
Reading: Qwen3.6 Plus leads · intervals overlap

Coding

Like-for-like

Grok 4.3: 33.6; Supported · #131/151
Qwen3.6 Plus: 46.9; Supported · #76/151
Basis: BenchAlign lane · 2 vs 7 public rows
Reading: Qwen3.6 Plus leads · intervals overlap

Knowledge

Like-for-like

Grok 4.3: 57.0; Supported · #44/183
Qwen3.6 Plus: 54.0; Supported · #60/183
Basis: BenchAlign lane · 2 vs 8 public rows
Reading: Grok 4.3 leads · intervals overlap

Multimodal

Directional only

Grok 4.3: 65.6; #25/48
Qwen3.6 Plus: 66.3; #22/48
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Directional only

Instruction following

Directional only

Grok 4.3: 94.4; #2/123
Qwen3.6 Plus: 85.5; #43/123
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Directional only

Reasoning

Not comparable

Grok 4.3: 65.2; Unranked · 2 rankable rows
Qwen3.6 Plus: 60.1; Unranked · 4 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Grok 4.3: Not ranked
Qwen3.6 Plus: 62.4; #4/7
Basis: Provisional lane · 0 vs 4 weighted rows
Reading: Not comparable

Multilingual

Not comparable

Grok 4.3: Not ranked
Qwen3.6 Plus: 69.7; #4/12
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Grok 4.3 and Qwen3.6 Plus
Category	Grok 4.3	Qwen3.6 Plus	Basis	Reading
Agentic	26.9Supported · #144/152	36.0Supported · #132/152	Like-for-likeBenchAlign lane · 3 vs 13 public rows	Qwen3.6 Plus leads · intervals overlap
Coding	33.6Supported · #131/151	46.9Supported · #76/151	Like-for-likeBenchAlign lane · 2 vs 7 public rows	Qwen3.6 Plus leads · intervals overlap
Knowledge	57.0Supported · #44/183	54.0Supported · #60/183	Like-for-likeBenchAlign lane · 2 vs 8 public rows	Grok 4.3 leads · intervals overlap
Multimodal	65.6#25/48	66.3#22/48	Directional onlyProvisional lane · 0 vs 2 weighted rows	Directional only
Instruction following	94.4#2/123	85.5#43/123	Directional onlyProvisional lane · 0 vs 1 weighted rows	Directional only
Reasoning	65.2Unranked · 2 rankable rows	60.1Unranked · 4 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	Not ranked	62.4#4/7	Not comparableProvisional lane · 0 vs 4 weighted rows	Not comparable
Multilingual	Not ranked	69.7#4/12	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

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.

MMLU-Pro (Vals)
Knowledge
Grok 4.3: 85.8%Qwen3.6 Plus: 87.7%Normalized gap 1.9Grok 4.3 source Qwen3.6 Plus source
LiveCodeBench (Vals)
Coding
Grok 4.3: 84.5%Qwen3.6 Plus: 86.0%Normalized gap 1.5Grok 4.3 source Qwen3.6 Plus source

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 4.3: $0.0025; 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 4.3: $0.07; 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 4.3: $0.09; Fits in one request
Qwen3.6 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

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.

SpecificationGrok 4.3Qwen3.6 Plus

Context window

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

Grok 4.3

Qwen3.6 Plus

API model ID

Grok 4.3

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 4.3

$0.2 per 1M cached input tokens

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Grok 4.3

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Grok 4.3

Not sourced

Qwen3.6 Plus

Not sourced

Provider availability

Grok 4.3

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Grok 4.3

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Grok 4.3

Proprietary

Qwen3.6 Plus

Proprietary

License

Grok 4.3

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Grok 4.3

2026-04-30

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, 60.4 versus 59.73, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Both models list 1M.

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 evidence48 rows

Agentic

Gert Labs
Shared source
Grok 4.343.86%
Qwen3.6 Plus50.60%
Qwen3.6 Plus leads this result
ResearchClawBench
Shared source
Grok 4.312.4%
Qwen3.6 Plus18.0%
Qwen3.6 Plus leads this result
Terminal-Bench 2.1 (Vals)
Grok 4.341.9%
Source
Qwen3.6 Plus53.2%
Source
Qwen3.6 Plus leads this result
Terminal-Bench 2.0
Grok 4.3—
Qwen3.6 Plus61.6%
Source
Not directly comparable
Claw-Eval
Grok 4.3—
Qwen3.6 Plus58.8%
Source
Not directly comparable
QwenClawBench
Grok 4.3—
Qwen3.6 Plus57.2%
Source
Not directly comparable
τ³-bench results
Grok 4.3—
Qwen3.6 Plus70.7%
Source
Not directly comparable
VITA-Bench
Grok 4.3—
Qwen3.6 Plus44.3%
Source
Not directly comparable
DeepPlanning
Grok 4.3—
Qwen3.6 Plus41.5%
Source
Not directly comparable
Toolathlon
Grok 4.3—
Qwen3.6 Plus39.8%
Source
Not directly comparable
MCP Atlas
Grok 4.3—
Qwen3.6 Plus48.2%
Source
Not directly comparable
MCP-Tasks
Grok 4.3—
Qwen3.6 Plus74.1%
Source
Not directly comparable
WideResearch
Grok 4.3—
Qwen3.6 Plus74.3%
Source
Not directly comparable

Coding

LiveCodeBench (Vals)
Grok 4.384.5%
Source
Qwen3.6 Plus86.0%
Source
Qwen3.6 Plus leads this result
SWE-bench (Vals)
Grok 4.371.4%
Source
Qwen3.6 Plus73.4%
Source
Qwen3.6 Plus leads this result
SWE-bench Verified
Grok 4.3—
Qwen3.6 Plus78.8%
Source
Not directly comparable
SWE-bench Pro
Grok 4.3—
Qwen3.6 Plus56.6%
Source
Not directly comparable
SWE Multilingual
Grok 4.3—
Qwen3.6 Plus73.8%
Source
Not directly comparable
LiveCodeBench v6
Grok 4.3—
Qwen3.6 Plus87.1%
Source
Not directly comparable
Vibe Code Bench
Grok 4.3—
Qwen3.6 Plus25.56%
Source
Not directly comparable

Reasoning

AI-Needle
Grok 4.3—
Qwen3.6 Plus68.3%
Source
Not directly comparable
LongBench v2
Grok 4.3—
Qwen3.6 Plus62%
Source
Not directly comparable

Knowledge

GPQA Diamond (Vals)
Grok 4.391.4%
Source
Qwen3.6 Plus87.4%
Source
Grok 4.3 leads this result
MMLU-Pro (Vals)
Grok 4.385.8%
Source
Qwen3.6 Plus87.7%
Source
Qwen3.6 Plus leads this result
GPQA
Grok 4.3—
Qwen3.6 Plus90.4%
Source
Not directly comparable
SuperGPQA
Grok 4.3—
Qwen3.6 Plus71.6%
Source
Not directly comparable
MMLU-Pro
Grok 4.3—
Qwen3.6 Plus88.5%
Source
Not directly comparable
MMLU-Redux
Grok 4.3—
Qwen3.6 Plus94.5%
Source
Not directly comparable
C-Eval
Grok 4.3—
Qwen3.6 Plus93.3%
Source
Not directly comparable
HLE
Grok 4.3—
Qwen3.6 Plus28.8%
Source
Not directly comparable

Math

AIME26
Grok 4.3—
Qwen3.6 Plus95.3%
Source
Not directly comparable
HMMT Feb 2025
Grok 4.3—
Qwen3.6 Plus96.7%
Source
Not directly comparable
HMMT Nov 2025
Grok 4.3—
Qwen3.6 Plus94.6%
Source
Not directly comparable
HMMT Feb 2026
Grok 4.3—
Qwen3.6 Plus87.8%
Source
Not directly comparable
MMAnswerBench
Grok 4.3—
Qwen3.6 Plus83.8%
Source
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Grok 4.3—
Qwen3.6 Plus26.207%
Source
Not directly comparable
FrontierMath v2 (Tier 4)
Grok 4.3—
Qwen3.6 Plus8.333%
Source
Not directly comparable

Multilingual

MMLU-ProX
Grok 4.3—
Qwen3.6 Plus84.7%
Source
Not directly comparable
NOVA-63
Grok 4.3—
Qwen3.6 Plus57.9%
Source
Not directly comparable

Multimodal

MMMU
Grok 4.3—
Qwen3.6 Plus86.0%
Source
Not directly comparable
MMMU-Pro
Grok 4.3—
Qwen3.6 Plus78.8%
Source
Not directly comparable
MathVision
Grok 4.3—
Qwen3.6 Plus88.0%
Source
Not directly comparable
VideoMMMU
Grok 4.3—
Qwen3.6 Plus84.0%
Source
Not directly comparable
ScreenSpot Pro
Grok 4.3—
Qwen3.6 Plus68.2%
Source
Not directly comparable
CharXiv
Grok 4.3—
Qwen3.6 Plus81.5%
Source
Not directly comparable
V*
Grok 4.3—
Qwen3.6 Plus96.9%
Source
Not directly comparable

Instruction following

IFEval
Grok 4.3—
Qwen3.6 Plus94.3%
Source
Not directly comparable
IFBench
Grok 4.3—
Qwen3.6 Plus75.8%
Source
Not directly comparable

Frequently asked questions

Which is better, Grok 4.3 or Qwen3.6 Plus?

Qwen3.6 Plus has the higher public score estimate, 60.4 versus 59.73, 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 4.3 or Qwen3.6 Plus?

Qwen3.6 Plus leads the public coding lane, 46.9 to 33.6, with Supported evidence for both models, although the 90% intervals overlap.

Which is better for agentic tasks, Grok 4.3 or Qwen3.6 Plus?

Qwen3.6 Plus leads the public agentic tasks lane, 36 to 26.9, with Supported evidence for both models, although the 90% intervals overlap.

Which costs less, Grok 4.3 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 4.3 or Qwen3.6 Plus?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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Grok 4.3 vs Qwen3.6 Plus

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Agentic

Coding

Knowledge

Multimodal

Instruction following

Reasoning

Math

Multilingual

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Frequently asked questions

Which is better, Grok 4.3 or Qwen3.6 Plus?

Which is better for coding, Grok 4.3 or Qwen3.6 Plus?

Which is better for agentic tasks, Grok 4.3 or Qwen3.6 Plus?

Which costs less, Grok 4.3 or Qwen3.6 Plus?

Which has the larger context window, Grok 4.3 or Qwen3.6 Plus?

Related comparisons

Watch Grok 4.3 vs Qwen3.6 Plus