AI model comparison

Granite 4.2 8B vs Qwen3 Coder 30B A3B Instruct

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning.

Input / 1M
$0.06
Output / 1M
$0.25
Context
131K

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use.

Input / 1M
$0.07
Output / 1M
$0.28
Context
262K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

ibm-granite logo

Granite 4.2 8B

1.1x cheaper for a typical chat

Higher intelligence score

ibm-granite logo

Granite 4.2 8B

11.1 vs 9.6 on Artificial Analysis

Larger context window

qwen logo

Qwen3 Coder 30B A3B Instruct

262K vs 131K tokens

Newer release

ibm-granite logo

Granite 4.2 8B

Released August 31, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

ibm-granite logoGranite 4.2 8B11.1
qwen logoQwen3 Coder 30B A3B Instruct9.6

Coding index

ibm-granite logoGranite 4.2 8B22.4
qwen logoQwen3 Coder 30B A3B InstructNot available

Agentic index

ibm-granite logoGranite 4.2 8B1.3
qwen logoQwen3 Coder 30B A3B InstructNot available

Pricing

Granite 4.2 8B vs Qwen3 Coder 30B A3B Instruct API pricing

Per-token API rates. Cheaper option highlighted.

Metricibm-granite logoGranite 4.2 8Bqwen logoQwen3 Coder 30B A3B Instruct
Input tokensPer 1M tokens$0.06$0.07
Output tokensPer 1M tokens$0.25$0.28
Cached input (read)Per 1M tokens$0.02Not available
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

ibm-granite logoGranite 4.2 8B$0.25
qwen logoQwen3 Coder 30B A3B Instruct$0.28

Coding task

30K in, 4K out

ibm-granite logoGranite 4.2 8B$2.80$1.45 cached
qwen logoQwen3 Coder 30B A3B Instruct$3.22

Long document summary

150K in, 2K out

ibm-granite logoGranite 4.2 8B$9.50$2.75 cached
qwen logoQwen3 Coder 30B A3B Instruct$11.06

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricibm-granite logoGranite 4.2 8Bqwen logoQwen3 Coder 30B A3B Instruct
Context window131K tokens262K tokens
Max output118K tokens236K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsHigh, Low, NoneNot available
Default reasoning effortHighNot available
Release dateAugust 31, 2026July 31, 2025

Features

Supported features

API features available for each model.

Metricibm-granite logoGranite 4.2 8Bqwen logoQwen3 Coder 30B A3B Instruct
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedNot supported
Verbosity controlNot supportedNot supported

Our take

Granite 4.2 8B is 1.1x cheaper for a typical chat. Granite 4.2 8B scores higher on the Artificial Analysis Intelligence Index (11.1 vs 9.6). Qwen3 Coder 30B A3B Instruct has the larger context window (262K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Granite 4.2 8B or Qwen3 Coder 30B A3B Instruct cheaper?

Granite 4.2 8B is cheaper for a typical chat (2K input tokens and 500 output tokens). Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens, while Qwen3 Coder 30B A3B Instruct costs $0.07 per 1M input tokens and $0.28 per 1M output tokens.

Which has a bigger context window, Granite 4.2 8B or Qwen3 Coder 30B A3B Instruct?

Qwen3 Coder 30B A3B Instruct supports up to 262K tokens of context, compared with 131K for Granite 4.2 8B.

Is Granite 4.2 8B smarter than Qwen3 Coder 30B A3B Instruct?

On the Artificial Analysis Intelligence Index, Granite 4.2 8B scores 11.1 and Qwen3 Coder 30B A3B Instruct scores 9.6, putting Granite 4.2 8B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Granite 4.2 8B and Qwen3 Coder 30B A3B Instruct at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Granite 4.2 8B and Qwen3 Coder 30B A3B Instruct answer side by side and keep the better response.

ibm-granite logoqwen logo

Why choose? Ask both.

Send one prompt to Granite 4.2 8B and Qwen3 Coder 30B A3B Instruct at the same time. Compare the answers side by side and keep the best one.