Noometry

Model comparison

Gemini 3.7 Flash vs Llama-3.3-70B-Instruct

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 9.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 24 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and Llama-3.3-70B-Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 14.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 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 $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 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 3.7 FlashLlama-3.3-70B-Instruct
ProviderGoogleMeta
Noometry Index59.830.6
Released2026-08-132024-12-06
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$0.75$0.10
Output $ / M tokens$3.75$0.32
Results tracked4443

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), Llama-3.3-70B-Instruct: 31.0 (#290)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
SciCode59.8%26%
LMArena Coding14971268
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1592—
FrontierSWE20.3%—
WeirdML—14.4%
BigCodeBench Instruct—46.9%
LiveBench Coding—36.6%
BigCodeBench Complete—57.5%
ALE-Bench904.3—

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), Llama-3.3-70B-Instruct: 25.8 (#105)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
APEX-Agents67.8%—
Berkeley Function Calling Leaderboard—31.9%
Remote Labor Index5%—
BALROG—23%
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), Llama-3.3-70B-Instruct: 14.1 (#327)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
CritPt14.3%0%
LMArena Hard Prompts14941257
DTBench96.8%59.5%
LMCA50.4%17.5%
Epoch Capabilities Index157.27127.33
ARC-AGI-284.6%—
SimpleBench—19.9%
NYT Connections (extended)94%—
ARC-AGI-195.5%—
Chess Puzzles47%—
LiveBench Reasoning—50.8%
Mystery Game Puzzles37%—
LiveBench Data Analysis—49.5%
ForecastBench—58.6
LiveBench—50.2%

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), Llama-3.3-70B-Instruct: 15.3 (#298)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
OTIS Mock AIME 2024-202597.2%5.1%
LMArena Math15071267
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
ProofBench58%—
LiveBench Math—42.2%
MATH Level 5—41.6%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), Llama-3.3-70B-Instruct: 30.6 (#226)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
GPQA Diamond94.8%47.4%
LMArena Expert15081225
SimpleQA Verified69.2%—
Confabulations—22.8%
Vectara Hallucination Rate—4.1%
MMLU—86.3%

Multimodal Not comparable

Gemini 3.7 Flash: 37.3 (#73), Llama-3.3-70B-Instruct: —

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
LMArena Vision1316—
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), Llama-3.3-70B-Instruct: 39.9 (#220)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
LMArena Non-English14841236
LMArena Chinese15481217
LMArena French15051281
LMArena German14981251
LMArena Japanese15121150
LMArena Korean14831143
LMArena Russian15161252
LMArena Spanish15031270

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), Llama-3.3-70B-Instruct: 71.1 (#157)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
LMArena Instruction Following14831242
LiveBench Instruction Following—82.7%

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), Llama-3.3-70B-Instruct: 26.4 (#295)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
LMArena Longer Query14921256
Fiction.LiveBench—33.3%

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), Llama-3.3-70B-Instruct: 47.6 (#207)

BenchmarkGemini 3.7 FlashLlama-3.3-70B-Instruct
LMArena Text14861274
LMArena Creative Writing14901250
LMArena Multi-Turn14891280
EQ-Bench Creative Writing1723—
LiveBench Language—39.2%

Frequently asked questions

Is Gemini 3.7 Flash better than Llama-3.3-70B-Instruct?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 9.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 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 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or Llama-3.3-70B-Instruct better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 31.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.7 Flash and Llama-3.3-70B-Instruct share?

24 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Llama-3.3-70B-Instruct has 43.

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