Qwen3.7 Flash vs Grok Build 0.1
At a Glance
| Compare |  Qwen3.7 FlashQwen | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.030Openrouter ↗ · Sep 22, 2026 | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.13Openrouter ↗ · Sep 22, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,000K | 256K |
| Model facts checked | Sep 3, 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
Side-by-Side Facts
| Field | Qwen3.7 Flash | Grok Build 0.1 |
|---|---|---|
| Developer | Qwen | xAI |
| Family | Qwen3 7 | Grok Build |
| Model | Qwen3.7 Flash | Grok Build 0.1 |
| Version | Qwen3.7 Flash | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | 2026-07-15 | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 256K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Alibaba Cloud Model Studio (Standard), Openrouter (Standard) | Xai (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools, vision | chat, generation, reasoning, structured_outputs, tools |
Qwen3.7 Flash Capabilities
Grok Build 0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Qwen3.7 Flash vs Grok Build 0.1 FAQs
Is Qwen3.7 Flash or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.7 Flash and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.7 Flash or Grok Build 0.1?+
Qwen3.7 Flash is $0.030 and Grok Build 0.1 is $1.00 per million tokens, so Qwen3.7 Flash is cheaper on this metric. Qwen3.7 Flash is $0.13 and Grok Build 0.1 is $2.00 per million tokens, so Qwen3.7 Flash is cheaper on this metric.
Which has a larger context window, Qwen3.7 Flash or Grok Build 0.1?+
Qwen3.7 Flash has the larger sourced context window. Qwen3.7 Flash supports 1,000K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Qwen3.7 Flash 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 Qwen3.7 Flash or Grok Build 0.1 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Qwen3.7 Flash is not marked open weight; Grok Build 0.1 is not marked open weight.
Can Qwen3.7 Flash and Grok Build 0.1 understand images?+
Qwen3.7 Flash is 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, Qwen3.7 Flash or Grok Build 0.1?+
Neither has a larger sourced maximum output. Qwen3.7 Flash is 66K and Grok Build 0.1 is —.
Do Qwen3.7 Flash and Grok Build 0.1 support reasoning and tool use?+
Qwen3.7 Flash: reasoning, tool calling, and image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.7 Flash or Grok Build 0.1?+
Qwen3.7 Flash has 2 sourced provider routes; Grok Build 0.1 has 1, so Qwen3.7 Flash has broader tracked availability.
Which offers better value, Qwen3.7 Flash 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.