IBM: Granite 4.2 8B vs Qwen: Qwen3 8B

IBM: Granite 4.2 8B comes out ahead on the data we track: 4 advantages and none for Qwen: Qwen3 8B.

Key numbers

SpecIBM: Granite 4.2 8BQwen: Qwen3 8B
ProviderIbm GraniteQwen
Input price (per 1M tokens)$0.06$0.12
Output price (per 1M tokens)$0.25$0.46
Blended price (3:1 input/output)$0.11$0.20
Cheaper than … of all models we track79%69%
Context window131K tokens (~197 pages)131K tokens (~197 pages)
Larger context than … of all models23%23%
Max output per response118K tokens (~88,500 words)8K tokens (~6,100 words)
Input typestexttext
Output typestexttext
Free variantNoNo
Listed since2026-08-312025-04-28
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)IBM: Granite 4.2 8BQwen: Qwen3 8BDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$9.50$17.88IBM: Granite 4.2 8B saves $8.38
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$9.70$18.59IBM: Granite 4.2 8B saves $8.89
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$10.20$19.50IBM: Granite 4.2 8B saves $9.30
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$6.30$12.09IBM: Granite 4.2 8B saves $5.79
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$3.25$6.30IBM: Granite 4.2 8B saves $3.05

Capabilities side by side

CapabilityIBM: Granite 4.2 8BQwen: Qwen3 8BWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input——read screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities✓ Yes—read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-09-22IBM: Granite 4.2 8B$0.06$0.25
2026-09-21IBM: Granite 4.2 8B$0.10$0.15
2026-09-09IBM: Granite 4.2 8B$0.06$0.25
2026-08-06Qwen: Qwen3 8B$0.12$0.46

Which should you choose?

Choose IBM: Granite 4.2 8B if…

  • cost matters at scale — it is 47% cheaper on a typical 3:1 input/output mix ($9.50 vs $17.88 a month for 50,000 support chats)
  • you need log-probabilities — to read token confidence for classification and scoring; Qwen: Qwen3 8B does not advertise it
  • you generate long outputs in one go — up to 118K tokens (about 88,500 words) per response
  • you want the newer model — released 2026-08-31, 16 months after the other

Choose Qwen: Qwen3 8B if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Frequently asked questions

Is IBM: Granite 4.2 8B better than Qwen: Qwen3 8B?

IBM: Granite 4.2 8B comes out ahead on the data we track: 4 advantages and none for Qwen: Qwen3 8B.

Which is cheaper, IBM: Granite 4.2 8B or Qwen: Qwen3 8B?

IBM: Granite 4.2 8B is cheaper: $0.11 vs $0.20 per 1M tokens at a typical 3:1 input/output mix, 47% less. For 50,000 support conversations a month that is $9.50 against $17.88.

How much do IBM: Granite 4.2 8B and Qwen: Qwen3 8B cost per million tokens?

IBM: Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens; Qwen: Qwen3 8B costs $0.12 input and $0.46 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, IBM: Granite 4.2 8B or Qwen: Qwen3 8B?

Both take 131K tokens per request — roughly 197 pages of text.

Do IBM: Granite 4.2 8B and Qwen: Qwen3 8B support function calling and JSON output?

Tool calling — IBM: Granite 4.2 8B: yes, Qwen: Qwen3 8B: yes. JSON-schema structured output — IBM: Granite 4.2 8B: yes, Qwen: Qwen3 8B: yes.

Can IBM: Granite 4.2 8B or Qwen: Qwen3 8B read images?

Neither accepts image input — both are text-in models.

Is IBM: Granite 4.2 8B or Qwen: Qwen3 8B free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of IBM: Granite 4.2 8B and Qwen: Qwen3 8B?

IBM: Granite 4.2 8B can write up to 118K tokens (about 88,500 words) per response; Qwen: Qwen3 8B up to 8K (about 6,100 words).

When were IBM: Granite 4.2 8B and Qwen: Qwen3 8B released?

IBM: Granite 4.2 8B was listed on 2026-08-31; Qwen: Qwen3 8B on 2025-04-28.

Has the price of IBM: Granite 4.2 8B or Qwen: Qwen3 8B changed?

IBM: Granite 4.2 8B: input price cut 40% ($0.10 → $0.06/1M), output price raised 40% ($0.15 → $0.25/1M) on 2026-09-22 (3 price changes since 2026-09-01). Qwen: Qwen3 8B: input price raised 57% ($0.05 → $0.12/1M), output price raised 12% ($0.40 → $0.46/1M) on 2026-08-06.

About the two models

Ibm Granite

IBM: Granite 4.2 8B

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. It supports full, low-effort,...

Full IBM: Granite 4.2 8B specs →
Qwen

Qwen: Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Full Qwen: Qwen3 8B specs →

Compare IBM: Granite 4.2 8B with other models

Compare Qwen: Qwen3 8B with other models

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