Model comparison

Claude Opus 4.5 vs Jamba Large

Claude Opus 4.5 has enough public results to be ranked (#47); Jamba Large does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Jamba Large AI21 Labs

33.1

Unranked Sparse

Summary

  • They share 2 benchmarks with published results for both. Claude Opus 4.5 scores higher in 2 categories and Jamba Large in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.5 leads 42.6 to 18.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 80.2% for Claude Opus 4.5 and 26.1% for Jamba Large.
  • Jamba Large is cheaper at $2 / $8 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Jamba Large accepts more context: 256K tokens versus 200K.
  • Jamba Large has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5 and Jamba Large specifications
Claude Opus 4.5Jamba Large
ProviderAnthropicAI21 Labs
Noometry Index50.533.1
Released2025-11-012025-07-01
WeightsProprietaryOpen
Context window200K256K
Max output64K4K
Input $ / M tokens$5$2
Output $ / M tokens$25$8
Results tracked692

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Category by category

Coding Not comparable

Claude Opus 4.5: 54.8 (#27), Jamba Large: —

Coding benchmarks
BenchmarkClaude Opus 4.5Jamba Large
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
GSO26.5%—
WeirdML63.7%—
LMArena Coding1504—
ALE-Bench1,025—
AlgoTune1.77—

Agentic & Tool Use Not comparable

Claude Opus 4.5: 47.3 (#12), Jamba Large: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.5Jamba Large
Terminal-Bench63.1%—
Berkeley Function Calling Leaderboard77.5%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
Cybench82%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), Jamba Large: 18.0

Reasoning benchmarks
BenchmarkClaude Opus 4.5Jamba Large
Kagi LLM Benchmark80.2%26.1%
ARC-AGI-237.6%—
SimpleBench62%—
NYT Connections (extended)52.5%—
ARC-AGI-180%—
Chess Puzzles12%—
EnigmaEval11.9%—
EBR-Bench14.3%—
LMArena Hard Prompts1476—
Mystery Game Puzzles22%—
DTBench89.9%—
LMCA44.5%—
Epoch Capabilities Index150.09—
ForecastBench60.7—

Math Not comparable

Claude Opus 4.5: 38.6 (#132), Jamba Large: —

Math benchmarks
BenchmarkClaude Opus 4.5Jamba Large
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202586.1%—
ProofBench36%—
LMArena Math1463—
FrontierMath (Feb 2025 set)20.7%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Jamba Large: 37.7

Knowledge benchmarks
BenchmarkClaude Opus 4.5Jamba Large
Vectara Hallucination Rate10.9%9.7%
GPQA Diamond86%—
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
LMArena Expert1487—

Multimodal Not comparable

Claude Opus 4.5: 31.4 (#107), Jamba Large: —

Multimodal benchmarks
BenchmarkClaude Opus 4.5Jamba Large
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—

Multilingual Not comparable

Claude Opus 4.5: 54.3 (#47), Jamba Large: —

Multilingual benchmarks
BenchmarkClaude Opus 4.5Jamba Large
LMArena Non-English1438—
LMArena Chinese1470—
LMArena French1471—
LMArena German1449—
LMArena Japanese1416—
LMArena Korean1424—
LMArena Russian1447—
LMArena Spanish1458—

Instruction Following Not comparable

Claude Opus 4.5: 77.5 (#19), Jamba Large: —

Instruction Following benchmarks
BenchmarkClaude Opus 4.5Jamba Large
LMArena Instruction Following1478—

Long Context Not comparable

Claude Opus 4.5: 46.5 (#22), Jamba Large: —

Long Context benchmarks
BenchmarkClaude Opus 4.5Jamba Large
CL-bench21.1%—
LMArena Longer Query1480—

Writing & Preference Not comparable

Claude Opus 4.5: 68.1 (#28), Jamba Large: —

Writing & Preference benchmarks
BenchmarkClaude Opus 4.5Jamba Large
LMArena Text1451—
LMArena Creative Writing1445—
EQ-Bench Creative Writing1687—
LMArena Multi-Turn1466—

Frequently asked questions

Is Claude Opus 4.5 better than Jamba Large?

Claude Opus 4.5 has enough public results to be ranked (#47); Jamba Large does not yet, so treat this comparison as directional.

Which is cheaper, Claude Opus 4.5 or Jamba Large?

Jamba Large is cheaper. It lists at $2 per million input tokens and $8 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Which has the bigger context window?

Jamba Large does, with 256K tokens against 200K.

How many benchmarks do Claude Opus 4.5 and Jamba Large share?

2 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Jamba Large has 2.

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