GPT-5.2 vs Grok-3
GPT-5.2 (2025) and Grok-3 (2025) are frontier-tier reasoning models from OpenAI and xAI. GPT-5.2 ships a 400k-token context window, while Grok-3 ships a 131k-token context window. On pricing, Grok-3 costs $0.80/1M input tokens versus $1.75/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Grok-3 is ~119% cheaper at $0.80/1M; pay for GPT-5.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-5.2 | Grok-3 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 131k |
| Cheapest output | $14/1M tokens | $2.40/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.2 uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.2 for Coding, RAG, and Agents.
- Grok-3 has the lower cheapest tracked output price at $2.40/1M tokens.
- Grok-3 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Grok-3 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.2
$4,900
Cheapest tracked route/tier: Replicate API
Grok-3
$1,240
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $3,660. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Grok-3 is $11.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.2 is $11.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 adds Code execution in local capability data.
Specs
Pricing and availability
| Pricing attribute | GPT-5.2 | Grok-3 |
|---|---|---|
| Input price | $1.75/1M tokens | $0.80/1M tokens |
| Output price | $14/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.2 | Grok-3 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | 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 code execution: GPT-5.2. Both models share vision, multimodal input, reasoning mode, and function calling, 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, GPT-5.2 lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider, while Grok-3 lists $0.80/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Grok-3 lower by about $4.14 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose GPT-5.2 when coding workflow support and larger context windows are central to the workload. Choose Grok-3 when vision-heavy evaluation, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GPT-5.2 or Grok-3?
GPT-5.2 supports 400k tokens, while Grok-3 supports 131k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GPT-5.2 or Grok-3?
Grok-3 is cheaper on tracked token pricing. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. Grok-3 costs $0.80/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.2 or Grok-3 open source?
GPT-5.2 is listed under Proprietary. Grok-3 is listed under Proprietary. 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, GPT-5.2 or Grok-3?
Both GPT-5.2 and Grok-3 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-5.2 or Grok-3?
Both GPT-5.2 and Grok-3 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run GPT-5.2 and Grok-3?
GPT-5.2 is available on Replicate API, OpenRouter, and Vercel AI Gateway. Grok-3 is available on OpenRouter, xAI Console, Chutes AI, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.