Sarvam 30B (high) vs GPT-5.2 Codex (xhigh): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) Showdown

After a comprehensive analysis, GPT-5.2 Codex (xhigh) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Sarvam 30B (high) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

Sarvam 30B (high)

Other

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 295.789tokens/sec

GPT-5.2 Codex (xhigh)

OpenAI

Reasoning: 6
Coding: 4
Multimodal: 4
Long Context: 6
Blended Price / 1M tokens: $0.005
P95 Latency: 1000ms
Tokens per second: 99.457tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Sarvam 30B (high)` vs `GPT-5.2 Codex (xhigh)`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) debate, Sarvam 30B (high) scores 60 against GPT-5.2 Codex (xhigh)'s 60. This data-driven approach is essential for any serious Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Sarvam 30B (high)300ms

GPT-5.2 Codex (xhigh)300ms

Tokens per Second

Sarvam 30B (high)295.789

GPT-5.2 Codex (xhigh)99.457

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The Economics of Sarvam 30B (high) vs GPT-5.2 Codex (xhigh)

Power is only one part of the equation. This Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, Sarvam 30B (high) would cost $0.018, whereas GPT-5.2 Codex (xhigh) would cost $0.005. This practical calculation is vital for any developer considering the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) choice.

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Which Model Wins the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) Battle for You?

Choose Sarvam 30B (high) if...

Cost is a secondary concern to power in your Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose GPT-5.2 Codex (xhigh) if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Sarvam 30B (high) vs GPT-5.2 Codex (xhigh) Comparison

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