Noometry

Model comparison

Gemini 3.5 Flash vs Llama-3.3-70B-Instruct

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 22× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Gemini 3.5 Flash Google

54.2

Rank #32 Confirmed

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Llama-3.3-70B-Instruct in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 14.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.5 Flash and 5.1% for Llama-3.3-70B-Instruct.
  • Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
  • Gemini 3.5 Flash accepts more context: 1.05M tokens versus 128K.
  • Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 3.5 FlashLlama-3.3-70B-Instruct
ProviderGoogleMeta
Noometry Index54.230.6
Released2026-05-192024-12-06
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$1.50$0.10
Output $ / M tokens$9$0.32
Results tracked5443

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Category by category

Coding Gemini 3.5 Flash leads

Gemini 3.5 Flash: 49.4 (#49), Llama-3.3-70B-Instruct: 31.0 (#290)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
SciCode53.1%26%
WeirdML62.6%14.4%
LMArena Coding14921268
SWE-bench Verified79.3%—
DeepSWE37.4%—
LMArena WebDev1499—
BigCodeBench Instruct—46.9%
LiveBench Coding—36.6%
BigCodeBench Complete—57.5%
ALE-Bench911.02—

Agentic & Tool Use Llama-3.3-70B-Instruct leads

Gemini 3.5 Flash: 24.7 (#114), Llama-3.3-70B-Instruct: 25.8 (#105)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
APEX-Agents27.5%—
Berkeley Function Calling Leaderboard—31.9%
BALROG—23%
GBAEval6.7%—
GDP.pdf14%—
Vending-Bench 25,396—

Reasoning Gemini 3.5 Flash leads

Gemini 3.5 Flash: 62.8 (#18), Llama-3.3-70B-Instruct: 14.1 (#327)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
SimpleBench76.7%19.9%
CritPt13.1%0%
LMArena Hard Prompts14881257
DTBench94.7%59.5%
LMCA47.1%17.5%
Epoch Capabilities Index154.46127.33
ForecastBench5958.6
ARC-AGI-272.1%—
NYT Connections (extended)92.6%—
ARC-AGI-192.5%—
Chess Puzzles50%—
EnigmaEval25.4%—
EBR-Bench4.8%—
LiveBench Reasoning—50.8%
Mystery Game Puzzles32%—
LiveBench Data Analysis—49.5%
Surface Evolver Bench58.1%—
LiveBench—50.2%

Math Gemini 3.5 Flash leads

Gemini 3.5 Flash: 60.7 (#36), Llama-3.3-70B-Instruct: 15.3 (#298)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
OTIS Mock AIME 2024-202595.6%5.1%
LMArena Math15041267
FrontierMath (Tiers 1-3)62.8%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions76.3%—
ProofBench31%—
LiveBench Math—42.2%
MATH Level 5—41.6%
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—

Knowledge Gemini 3.5 Flash leads

Gemini 3.5 Flash: 66.3 (#11), Llama-3.3-70B-Instruct: 30.6 (#226)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
GPQA Diamond92.8%47.4%
LMArena Expert14951225
SimpleQA Verified66.2%—
Confabulations—22.8%
Vectara Hallucination Rate—4.1%
MMLU—86.3%

Multimodal Not comparable

Gemini 3.5 Flash: 45.7 (#15), Llama-3.3-70B-Instruct: —

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
LMArena Vision1310—
Blueprint-Bench 233.6%—
LMArena Document1463—

Multilingual Gemini 3.5 Flash leads

Gemini 3.5 Flash: 57.0 (#13), Llama-3.3-70B-Instruct: 39.9 (#220)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
LMArena Non-English14761236
LMArena Chinese15261217
LMArena French14901281
LMArena German14921251
LMArena Japanese14861150
LMArena Korean14511143
LMArena Russian14931252
LMArena Spanish14801270

Instruction Following Gemini 3.5 Flash leads

Gemini 3.5 Flash: 77.0 (#30), Llama-3.3-70B-Instruct: 71.1 (#157)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
LMArena Instruction Following14671242
LiveBench Instruction Following—82.7%

Long Context Gemini 3.5 Flash leads

Gemini 3.5 Flash: 45.4 (#38), Llama-3.3-70B-Instruct: 26.4 (#295)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
LMArena Longer Query14821256
Fiction.LiveBench—33.3%

Writing & Preference Gemini 3.5 Flash leads

Gemini 3.5 Flash: 65.5 (#47), Llama-3.3-70B-Instruct: 47.6 (#207)

BenchmarkGemini 3.5 FlashLlama-3.3-70B-Instruct
LMArena Text14821274
LMArena Creative Writing14701250
LMArena Multi-Turn14811280
EQ-Bench 41087—
LiveBench Language—39.2%

Frequently asked questions

Is Gemini 3.5 Flash better than Llama-3.3-70B-Instruct?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 22× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.5 Flash or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

Is Gemini 3.5 Flash or Llama-3.3-70B-Instruct better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 31.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.5 Flash and Llama-3.3-70B-Instruct share?

27 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Llama-3.3-70B-Instruct has 43.

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