Grok Build 0.1 vs Llama 3.2 90B Instruct

Name: Grok Build 0.1
Author: xAI

Grok Build 0.1 (2026) and Llama 3.2 90B Instruct (2025) compare a coding-specialized model against a standalone API model. Grok Build 0.1 ships a 256k-token context window, while Llama 3.2 90B Instruct ships a 128k-token context window. On pricing, Grok Build 0.1 ranges from $1 to $2/1M input tokens by tier; Llama 3.2 90B Instruct costs $1.35/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Grok Build 0.1 is coding-specialized model, while Llama 3.2 90B Instruct is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first

Signal	Grok Build 0.1	Llama 3.2 90B Instruct	How to read it
Product type	Coding-specialized model	Standalone API model	Read downstream rows through the product-type lens before comparing benchmarks, prices, or provider availability.
Best for	custom coding agents, code generation, and tool loops	multimodal apps	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	RAG, Long context, and Vision	Primary workload tags from local decision data.
Context window	256k	128k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$2/1M tokens	$1.80/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	3 tracked	1 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 rows	0 rows	No shared benchmark rows are sourced for this pair yet.

Decision tradeoffs

Choose Grok Build 0.1 when...

Grok Build 0.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
Grok Build 0.1 has broader tracked provider coverage for fallback and procurement flexibility.
Grok Build 0.1 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
Local decision data tags Grok Build 0.1 for Coding, RAG, and Agents.

Choose Llama 3.2 90B Instruct when...

Llama 3.2 90B Instruct has the lower cheapest tracked output price at $1.80/1M tokens.
Local decision data tags Llama 3.2 90B Instruct for RAG, Long context, and Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Grok Build 0.1

Requests / monthInput tokens / requestOutput tokens / request

Grok Build 0.1

$1,300

Cheapest tracked route/tier: xAI Console

Llama 3.2 90B Instruct

$1,530

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $230. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Grok Build 0.1 -> Llama 3.2 90B Instruct

No overlapping tracked provider route is sourced for Grok Build 0.1 and Llama 3.2 90B Instruct; plan for SDK, billing, or endpoint changes.
Llama 3.2 90B Instruct is $0.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.

Llama 3.2 90B Instruct -> Grok Build 0.1

No overlapping tracked provider route is sourced for Llama 3.2 90B Instruct and Grok Build 0.1; plan for SDK, billing, or endpoint changes.
Grok Build 0.1 is $0.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Grok Build 0.1 adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification	Grok Build 0.1 xAI	Llama 3.2 90B Instruct AI at Meta
Released	2026-05-14	2025-09-01
Context window	256k	128k
Parameters	—	90B
Architecture	-	-
License	Proprietary	Llama 3 Community
Openness	Proprietary	Open weights
Commercial use	Commercial use with conditions	Commercial use with conditions
Knowledge cutoff	-	2023-12

Pricing and availability

Pricing attribute	Grok Build 0.1	Llama 3.2 90B Instruct
Input price	0-200,001t $1/1M tokens 200,001t+ $2/1M tokens	$1.35/1M tokens
Output price	0-200,001t $2/1M tokens 200,001t+ $4/1M tokens	$1.80/1M tokens
Providers	xAI Console Vercel AI Gateway OpenRouter	AWS Bedrock

Capabilities

Capability	Grok Build 0.1	Llama 3.2 90B Instruct
Vision	Yes	Yes
Multimodal	Yes	Yes
Reasoning	Yes	No
Function calling	Yes	No
Tool use	Yes	No
Structured outputs	Yes	Yes
Code execution	No	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Grok Build 0.1, function calling: Grok Build 0.1, and tool use: Grok Build 0.1. Both models share vision, multimodal input, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Grok Build 0.1 lists tiered pricing: 0-200,001t is $1/1M input and $2/1M output; 200,001t+ is $2/1M input and $4/1M output, while Llama 3.2 90B Instruct lists $1.35/1M input and $1.80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Grok Build 0.1 lower by about $0.19 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 3 providers versus 1, so concentration risk also matters.

Choose Grok Build 0.1 when coding workflow support, larger context windows, and lower cheapest-tier input-token cost are central to the workload. Choose Llama 3.2 90B Instruct when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Grok Build 0.1 or Llama 3.2 90B Instruct?

Grok Build 0.1 supports 256k tokens, while Llama 3.2 90B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Grok Build 0.1 or Llama 3.2 90B Instruct?

Grok Build 0.1 lists tiered pricing: 0-200,001t is $1/1M input and $2/1M output; 200,001t+ is $2/1M input and $4/1M output. Llama 3.2 90B Instruct lists $1.35/1M input and $1.80/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.

Is Grok Build 0.1 or Llama 3.2 90B Instruct open source?

Grok Build 0.1 is listed under Proprietary. Llama 3.2 90B Instruct is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Grok Build 0.1 or Llama 3.2 90B Instruct?

Both Grok Build 0.1 and Llama 3.2 90B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for multimodal input, Grok Build 0.1 or Llama 3.2 90B Instruct?

Both Grok Build 0.1 and Llama 3.2 90B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Grok Build 0.1 and Llama 3.2 90B Instruct?

Grok Build 0.1 is available on xAI Console, Vercel AI Gateway, and OpenRouter. Llama 3.2 90B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Model pages

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Last reviewed: 2026-06-06. Data sourced from public model cards and provider documentation.

Both models

Grok Build 0.1 Llama 3.2 90B Instruct