Noometry

Model comparison

Claude Opus 5 vs Jamba Large

Claude Opus 5 has enough public results to be ranked (#4); Jamba Large does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Claude Opus 5 Anthropic

67.8

Rank #4 Confirmed

Jamba Large AI21 Labs

33.1

Unranked Sparse

Summary

  • The widest gap is in reasoning, where Claude Opus 5 leads 77.2 to 18.0.
  • Jamba Large is cheaper at $2 / $8 per million input/output tokens, against $5 / $25 for Claude Opus 5.
  • Claude Opus 5 accepts more context: 1M tokens versus 256K.
  • Jamba Large has downloadable open weights; the other is API-only.

Side by side

Claude Opus 5Jamba Large
ProviderAnthropicAI21 Labs
Noometry Index67.833.1
Released2026-07-242025-07-01
WeightsProprietaryOpen
Context window1M256K
Max output128K4K
Input $ / M tokens$5$2
Output $ / M tokens$25$8
Results tracked572

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Category by category

Coding Not comparable

Claude Opus 5: 67.5 (#5), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
DeepSWE73.6%—
FrontierCode53.4%—
CursorBench46.6%—
LMArena WebDev1691—
FrontierSWE52%—
SciCode56.4%—
WeirdML91.8%—
LMArena Coding1534—
ALE-Bench2,165—

Agentic & Tool Use Not comparable

Claude Opus 5: 55.6 (#1), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
APEX-Agents65.8%—
OSWorld 2.031.4%—
τ²-bench Banking48.7%—
PostTrainBench35%—
BALROG63.4%—
GBAEval79.6%—
GDP.pdf24%—
Vending-Bench 211,182—

Reasoning Claude Opus 5 leads

Claude Opus 5: 77.2 (#4), Jamba Large: 18.0

BenchmarkClaude Opus 5Jamba Large
ARC-AGI-290.4%—
SimpleBench80.6%—
Kagi LLM Benchmark—26.1%
NYT Connections (extended)94.3%—
ARC-AGI-197.5%—
CritPt29.1%—
Chess Puzzles42%—
EBR-Bench45.7%—
LMArena Hard Prompts1526—
Mystery Game Puzzles59%—
DTBench97.9%—
LMCA64.5%—
Bench to the Future 30.12—
Epoch Capabilities Index162.78—

Math Not comparable

Claude Opus 5: 86.2 (#8), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
FrontierMath (Tiers 1-3)85.6%—
FrontierMath Tier 473.2%—
OTIS Mock AIME 2024-202598.9%—
ProofBench99%—
LMArena Math1531—

Knowledge Claude Opus 5 leads

Claude Opus 5: 66.8 (#9), Jamba Large: 37.7

BenchmarkClaude Opus 5Jamba Large
GPQA Diamond93.9%—
SimpleQA Verified59.9%—
Vectara Hallucination Rate—9.7%
LMArena Expert1557—

Multimodal Not comparable

Claude Opus 5: 50.8 (#8), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
LMArena Vision1319—
Blueprint-Bench 230.4%—
Furniture Assembly60.8%—
LMArena Document1516—

Multilingual Not comparable

Claude Opus 5: 58.8 (#4), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
LMArena Non-English1501—
LMArena Chinese1574—
LMArena French1519—
LMArena German1524—
LMArena Japanese1516—
LMArena Korean1521—
LMArena Russian1507—
LMArena Spanish1519—

Instruction Following Not comparable

Claude Opus 5: 79.2 (#7), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
LMArena Instruction Following1517—

Long Context Not comparable

Claude Opus 5: 46.5 (#21), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
LMArena Longer Query1515—

Writing & Preference Not comparable

Claude Opus 5: 79.2 (#1), Jamba Large: —

BenchmarkClaude Opus 5Jamba Large
LMArena Text1507—
LMArena Creative Writing1491—
EQ-Bench Creative Writing2133—
EQ-Bench 41385—
LMArena Multi-Turn1499—

Frequently asked questions

Is Claude Opus 5 better than Jamba Large?

Claude Opus 5 has enough public results to be ranked (#4); Jamba Large does not yet, so treat this comparison as directional.

Which is cheaper, Claude Opus 5 or Jamba Large?

Jamba Large is cheaper. It lists at $2 per million input tokens and $8 per million output tokens; Claude Opus 5 lists at $5 and $25.

Which has the bigger context window?

Claude Opus 5 does, with 1M tokens against 256K.

How many benchmarks do Claude Opus 5 and Jamba Large share?

0 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Jamba Large has 2.

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