Noometry

Model comparison

Gemini 3.7 Flash vs Jamba Large

Gemini 3.7 Flash has enough public results to be ranked (#14); Jamba Large does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

Jamba Large AI21 Labs

33.1

Unranked Sparse

Summary

  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 18.0.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $8 for Jamba Large.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 256K.
  • Jamba Large has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 FlashJamba Large
ProviderGoogleAI21 Labs
Noometry Index59.833.1
Released2026-08-132025-07-01
WeightsProprietaryOpen
Context window1.05M256K
Max output66K4K
Input $ / M tokens$0.75$2
Output $ / M tokens$3.75$8
Results tracked442

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Category by category

Coding Not comparable

Gemini 3.7 Flash: 56.2 (#22), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1592—
FrontierSWE20.3%—
SciCode59.8%—
LMArena Coding1497—
ALE-Bench904.3—

Agentic & Tool Use Not comparable

Gemini 3.7 Flash: 42.1 (#19), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
APEX-Agents67.8%—
Remote Labor Index5%—
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), Jamba Large: 18.0

BenchmarkGemini 3.7 FlashJamba Large
ARC-AGI-284.6%—
Kagi LLM Benchmark—26.1%
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Chess Puzzles47%—
LMArena Hard Prompts1494—
Mystery Game Puzzles37%—
DTBench96.8%—
LMCA50.4%—
Epoch Capabilities Index157.27—

Math Not comparable

Gemini 3.7 Flash: 69.6 (#23), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
OTIS Mock AIME 2024-202597.2%—
ProofBench58%—
LMArena Math1507—

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), Jamba Large: 37.7

BenchmarkGemini 3.7 FlashJamba Large
GPQA Diamond94.8%—
SimpleQA Verified69.2%—
Vectara Hallucination Rate—9.7%
LMArena Expert1508—

Multimodal Not comparable

Gemini 3.7 Flash: 37.3 (#73), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
LMArena Vision1316—
Furniture Assembly26.7%—

Multilingual Not comparable

Gemini 3.7 Flash: 57.6 (#7), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
LMArena Non-English1484—
LMArena Chinese1548—
LMArena French1505—
LMArena German1498—
LMArena Japanese1512—
LMArena Korean1483—
LMArena Russian1516—
LMArena Spanish1503—

Instruction Following Not comparable

Gemini 3.7 Flash: 77.7 (#15), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
LMArena Instruction Following1483—

Long Context Not comparable

Gemini 3.7 Flash: 45.7 (#30), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
LMArena Longer Query1492—

Writing & Preference Not comparable

Gemini 3.7 Flash: 71.2 (#20), Jamba Large: —

BenchmarkGemini 3.7 FlashJamba Large
LMArena Text1486—
LMArena Creative Writing1490—
EQ-Bench Creative Writing1723—
LMArena Multi-Turn1489—

Frequently asked questions

Is Gemini 3.7 Flash better than Jamba Large?

Gemini 3.7 Flash has enough public results to be ranked (#14); Jamba Large does not yet, so treat this comparison as directional.

Which is cheaper, Gemini 3.7 Flash or Jamba Large?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Jamba Large lists at $2 and $8.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 256K.

How many benchmarks do Gemini 3.7 Flash and Jamba Large share?

0 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Jamba Large has 2.

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