Qwen3 Coder Next Base vs Grok 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#21 of 4664.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#22 of 44$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#16 of 3856.7 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$6.00Xai · Sep 3, 2026
Context windowMaximum documented tokens262K500K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldQwen3-Coder-Next-BaseGrok 4.6
DeveloperQwenxAI
FamilyQwen3 Coder Next BaseGrok 4
ModelQwen3-Coder-Next-BaseGrok 4.6
VersionQwen3-Coder-Next-BaseGrok 4.6
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K500K
Total parameters79.7BUnknown
Active parameters3BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownXai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Qwen3 Coder Next Base Capabilities

chatgenerationtools
Serving providers0
Canonical IDQwen/Qwen3-Coder-Next-Base

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next Base vs Grok 4.6 FAQs

Is Qwen3 Coder Next Base or Grok 4.6 better for coding?+

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

Which is cheaper, Qwen3 Coder Next Base or Grok 4.6?+

Only Grok 4.6 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.6 has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Qwen3 Coder Next Base or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Qwen3 Coder Next Base supports 262K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Qwen3 Coder Next Base 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 Coder Next Base or Grok 4.6 be self-hosted?+

Qwen3 Coder Next Base is the only model in this pair currently marked as self-hostable. Qwen3 Coder Next Base is open weight; Grok 4.6 is not marked open weight.

Can Qwen3 Coder Next Base and Grok 4.6 understand images?+

Qwen3 Coder Next Base is not 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 Coder Next Base or Grok 4.6?+

Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Grok 4.6 is —.

Do Qwen3 Coder Next Base and Grok 4.6 support reasoning and tool use?+

Qwen3 Coder Next Base: tool calling. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Coder Next Base or Grok 4.6?+

Qwen3 Coder Next Base has 0 sourced provider routes; Grok 4.6 has 1, so Grok 4.6 has broader tracked availability.

Which offers better value, Qwen3 Coder Next Base 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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