Claude Opus 5 vs IBM Granite 4.2 8B: Specs & Benchmark Comparison

Claude Opus 5 is developed by Anthropic, while IBM Granite 4.2 8B comes from IBM. Claude Opus 5 was released in July 2026, and IBM Granite 4.2 8B followed a month later in August 2026. IBM Granite 4.2 8B has a published size of about 8 billion parameters; Anthropic has not disclosed the parameter count of Claude Opus 5.

We have 13 benchmark results for Claude Opus 5 and 18 benchmark results for IBM Granite 4.2 8B, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Claude Opus 5 is available through an API at $5 per million input tokens with a 1M-token context window. We do not track a hosted API for IBM Granite 4.2 8B, so pricing and context cannot be compared directly.

CharacteristicClaude Opus 5IBM Granite 4.2 8B
CompanyAnthropicIBM
Release DateJuly 24, 2026August 25, 2026
Parameters—8B
MultimodalYesNo
Context (input)1.0M—
Context (output)128K—
Input Price / 1M$5.00—
Output Price / 1M$25.00—
Average Score55.0%56.7%

Verdict

IBM Granite 4.2 8B leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: Claude Opus 5 — 0.5, IBM Granite 4.2 8B — 0.6.

Recency

IBM Granite 4.2 8B is newer: released 8/25/2026 vs 7/24/2026.

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Frequently Asked Questions

Which is better for coding — Claude Opus 5 or IBM Granite 4.2 8B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Claude Opus 5 or IBM Granite 4.2 8B?
API pricing data is available on the individual model pages.
Which has a larger context window — Claude Opus 5 or IBM Granite 4.2 8B?
Context window data is available on the individual model pages.

The Claude Opus 5 and IBM Granite 4.2 8B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Claude Opus 5 or IBM Granite 4.2 8B page. See also the complete list of AI model comparisons.