Model comparison

Gemini 3.5 Flash vs Jamba Large

Gemini 3.5 Flash has enough public results to be ranked (#32); Jamba Large does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Gemini 3.5 Flash Google

54.2

Rank #32 Confirmed

Jamba Large AI21 Labs

33.1

Unranked Sparse

Summary

  • The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 18.0.
  • Both cost about the same: $1.50 input and $9 output per million tokens.
  • Gemini 3.5 Flash accepts more context: 1.05M tokens versus 256K.
  • Jamba Large has downloadable open weights; the other is API-only.

Side by side

Gemini 3.5 Flash and Jamba Large specifications
Gemini 3.5 FlashJamba Large
ProviderGoogleAI21 Labs
Noometry Index54.233.1
Released2026-05-192025-07-01
WeightsProprietaryOpen
Context window1.05M256K
Max output66K4K
Input $ / M tokens$1.50$2
Output $ / M tokens$9$8
Results tracked542

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Category by category

Coding Not comparable

Gemini 3.5 Flash: 49.4 (#49), Jamba Large: —

Coding benchmarks
BenchmarkGemini 3.5 FlashJamba Large
SWE-bench Verified79.3%—
DeepSWE37.4%—
LMArena WebDev1499—
SciCode53.1%—
WeirdML62.6%—
LMArena Coding1492—
ALE-Bench911.02—

Agentic & Tool Use Not comparable

Gemini 3.5 Flash: 24.7 (#114), Jamba Large: —

Agentic & Tool Use benchmarks
BenchmarkGemini 3.5 FlashJamba Large
APEX-Agents27.5%—
GBAEval6.7%—
GDP.pdf14%—
Vending-Bench 25,396—

Reasoning Gemini 3.5 Flash leads

Gemini 3.5 Flash: 62.8 (#18), Jamba Large: 18.0

Reasoning benchmarks
BenchmarkGemini 3.5 FlashJamba Large
ARC-AGI-272.1%—
SimpleBench76.7%—
Kagi LLM Benchmark—26.1%
NYT Connections (extended)92.6%—
ARC-AGI-192.5%—
CritPt13.1%—
Chess Puzzles50%—
EnigmaEval25.4%—
EBR-Bench4.8%—
LMArena Hard Prompts1488—
Mystery Game Puzzles32%—
DTBench94.7%—
LMCA47.1%—
Surface Evolver Bench58.1%—
Epoch Capabilities Index154.46—
ForecastBench59—

Math Not comparable

Gemini 3.5 Flash: 60.7 (#36), Jamba Large: —

Knowledge Gemini 3.5 Flash leads

Gemini 3.5 Flash: 66.3 (#11), Jamba Large: 37.7

Knowledge benchmarks
BenchmarkGemini 3.5 FlashJamba Large
GPQA Diamond92.8%—
SimpleQA Verified66.2%—
Vectara Hallucination Rate—9.7%
LMArena Expert1495—

Multimodal Not comparable

Gemini 3.5 Flash: 45.7 (#15), Jamba Large: —

Multimodal benchmarks
BenchmarkGemini 3.5 FlashJamba Large
LMArena Vision1310—
Blueprint-Bench 233.6%—
LMArena Document1463—

Multilingual Not comparable

Gemini 3.5 Flash: 57.0 (#13), Jamba Large: —

Multilingual benchmarks
BenchmarkGemini 3.5 FlashJamba Large
LMArena Non-English1476—
LMArena Chinese1526—
LMArena French1490—
LMArena German1492—
LMArena Japanese1486—
LMArena Korean1451—
LMArena Russian1493—
LMArena Spanish1480—

Instruction Following Not comparable

Gemini 3.5 Flash: 77.0 (#30), Jamba Large: —

Instruction Following benchmarks
BenchmarkGemini 3.5 FlashJamba Large
LMArena Instruction Following1467—

Long Context Not comparable

Gemini 3.5 Flash: 45.4 (#38), Jamba Large: —

Long Context benchmarks
BenchmarkGemini 3.5 FlashJamba Large
LMArena Longer Query1482—

Writing & Preference Not comparable

Gemini 3.5 Flash: 65.5 (#47), Jamba Large: —

Writing & Preference benchmarks
BenchmarkGemini 3.5 FlashJamba Large
LMArena Text1482—
LMArena Creative Writing1470—
EQ-Bench 41087—
LMArena Multi-Turn1481—

Frequently asked questions

Is Gemini 3.5 Flash better than Jamba Large?

Gemini 3.5 Flash has enough public results to be ranked (#32); Jamba Large does not yet, so treat this comparison as directional.

Which is cheaper, Gemini 3.5 Flash or Jamba Large?

Gemini 3.5 Flash is cheaper. It lists at $1.50 per million input tokens and $9 per million output tokens; Jamba Large lists at $2 and $8.

Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 256K.

How many benchmarks do Gemini 3.5 Flash and Jamba Large share?

0 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Jamba Large has 2.

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