Qwen3.5-35B-A3B vs Grok 4.6

Benchmark Performance

Available Benchmarks

BenchmarkQwen3.5-35B-A3BGrok 4.6
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,395.6097% of row best · rating · qwen3.5-35b-a3b; 95% CI [1391.30285568, 1399.90287908]; votes 29067; rank 1431,443.75100% of row best · rating · grok-4.6-high; 95% CI [1433.62910542, 1453.86294509]; votes 3453; rank 55
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Qwen · activeQwen3.5-35B-A3BVerified Aug 28, 2026
xAI · activeGrok 4.6Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3.5-35B-A3BGrok 4.6
DeveloperQwenxAI
FamilyQwen3 5 35b A3bGrok 4
ModelQwen3.5-35B-A3BGrok 4.6
VersionQwen3.5-35B-A3BGrok 4.6
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262,144500,000
Total parameters35,951,822,704Unknown
Active parameters3,000,000,000Unknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Openrouter (Standard)xAI (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Qwen3.5-35B-A3B Capabilities

chatgenerationreasoningtools
Input price$0.14
Output price$1.00
Serving providers2
Canonical IDQwen/Qwen3.5-35B-A3B

Grok 4.6 Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$6.00
Serving providers1
Canonical IDxai/grok-4.6

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Qwen3.5-35B-A3B vs Grok 4.6 FAQs

Is Qwen3.5-35B-A3B or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5-35B-A3B and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5-35B-A3B or Grok 4.6?+

Qwen3.5-35B-A3B is $0.14 and Grok 4.6 is $2.00 per million tokens, so Qwen3.5-35B-A3B is cheaper on this metric. Qwen3.5-35B-A3B is $1.00 and Grok 4.6 is $6.00 per million tokens, so Qwen3.5-35B-A3B is cheaper on this metric.

Which has a larger context window, Qwen3.5-35B-A3B or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Qwen3.5-35B-A3B supports 262,144 and Grok 4.6 supports 500,000.

Which performs better in benchmarks, Qwen3.5-35B-A3B or Grok 4.6?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.5-35B-A3B or Grok 4.6 be self-hosted?+

Qwen3.5-35B-A3B is the only model in this pair currently marked as self-hostable. Qwen3.5-35B-A3B is open weight; Grok 4.6 is not marked open weight.

Can Qwen3.5-35B-A3B and Grok 4.6 understand images?+

Qwen3.5-35B-A3B is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5-35B-A3B or Grok 4.6?+

Neither has a larger sourced maximum output. Qwen3.5-35B-A3B is — and Grok 4.6 is —.

Do Qwen3.5-35B-A3B and Grok 4.6 support reasoning and tool use?+

Qwen3.5-35B-A3B: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5-35B-A3B or Grok 4.6?+

Qwen3.5-35B-A3B has 2 sourced provider routes; Grok 4.6 has 1, so Qwen3.5-35B-A3B has broader tracked availability.

Which offers better value, Qwen3.5-35B-A3B or Grok 4.6?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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