Qwen3 Coder Next vs Grok Build 0.1

At a Glance

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Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#1 of 44$0.0020 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.12Openrouter · Sep 22, 2026$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.80Openrouter · Sep 22, 2026$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokens262K256K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 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-NextGrok Build 0.1
DeveloperQwenxAI
FamilyQwen3 Coder NextGrok Build
ModelQwen3-Coder-NextGrok Build 0.1
VersionQwen3-Coder-NextGrok Build 0.1
Lifecycleactivepreview
Released2026-02-022026-05-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K256K
Total parameters79.7BUnknown
Active parameters3BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Xai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, structured_outputs, tools

Qwen3 Coder Next Capabilities

chatgenerationtools
Serving providers2
Canonical IDQwen/Qwen3-Coder-Next

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next vs Grok Build 0.1 FAQs

Is Qwen3 Coder Next or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Coder Next or Grok Build 0.1?+

Qwen3 Coder Next is $0.12 and Grok Build 0.1 is $1.00 per million tokens, so Qwen3 Coder Next is cheaper on this metric. Qwen3 Coder Next is $0.80 and Grok Build 0.1 is $2.00 per million tokens, so Qwen3 Coder Next is cheaper on this metric.

Which has a larger context window, Qwen3 Coder Next or Grok Build 0.1?+

Qwen3 Coder Next has the larger sourced context window. Qwen3 Coder Next supports 262K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, Qwen3 Coder Next or Grok Build 0.1?+

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

Can Qwen3 Coder Next or Grok Build 0.1 be self-hosted?+

Qwen3 Coder Next is the only model in this pair currently marked as self-hostable. Qwen3 Coder Next is open weight; Grok Build 0.1 is not marked open weight.

Can Qwen3 Coder Next and Grok Build 0.1 understand images?+

Qwen3 Coder Next is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Coder Next or Grok Build 0.1?+

Neither has a larger sourced maximum output. Qwen3 Coder Next is — and Grok Build 0.1 is —.

Do Qwen3 Coder Next and Grok Build 0.1 support reasoning and tool use?+

Qwen3 Coder Next: tool calling. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Coder Next or Grok Build 0.1?+

Qwen3 Coder Next has 2 sourced provider routes; Grok Build 0.1 has 1, so Qwen3 Coder Next has broader tracked availability.

Which offers better value, Qwen3 Coder Next or Grok Build 0.1?+

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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