Noometry

Model comparison

Llama-3.3-70B-Instruct vs Qwen3.7 Flash

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.3 on the Noometry Index.

Last verified . 3 shared benchmarks.

Llama-3.3-70B-Instruct Meta

30.3

Rank #283 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.5

Rank #152 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.7 Flash leads 37.3 to 14.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.1% for Llama-3.3-70B-Instruct and 86.7% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.10 / $0.32 for Llama-3.3-70B-Instruct.
  • Qwen3.7 Flash accepts more context: 1M tokens versus 128K.
  • Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

Side by side

Llama-3.3-70B-InstructQwen3.7 Flash
ProviderMetaAlibaba (Qwen)
Noometry Index30.339.5
Released2024-12-062026-07-15
WeightsOpenProprietary
Context window128K1M
Max output4K131K
Input $ / M tokens$0.10$0.03
Output $ / M tokens$0.32$0.13
Results tracked437

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Category by category

Coding Not comparable

Llama-3.3-70B-Instruct: 30.6 (#284), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
SciCode26%—
WeirdML14.4%—
BigCodeBench Instruct46.9%—
LiveBench Coding36.6%—
LMArena Coding1268—
BigCodeBench Complete57.5%—

Agentic & Tool Use Not comparable

Llama-3.3-70B-Instruct: 25.6 (#100), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
Berkeley Function Calling Leaderboard31.9%—
BALROG23%—

Reasoning Qwen3.7 Flash leads

Llama-3.3-70B-Instruct: 13.7 (#325), Qwen3.7 Flash: 27.3 (#108)

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
Epoch Capabilities Index127.32144.62
SimpleBench19.9%—
NYT Connections (extended)—43.8%
CritPt0%—
Chess Puzzles—23%
LiveBench Reasoning50.8%—
LMArena Hard Prompts1257—
Mystery Game Puzzles—15%
DTBench59.5%—
LiveBench Data Analysis49.5%—
LMCA17.5%—
ForecastBench58.6—
LiveBench50.2%—

Math Qwen3.7 Flash leads

Llama-3.3-70B-Instruct: 14.3 (#292), Qwen3.7 Flash: 37.3 (#100)

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
OTIS Mock AIME 2024-20255.1%86.7%
FrontierMath (Tiers 1-3)—19.3%
LiveBench Math42.2%—
LMArena Math1268—
MATH Level 541.6%—

Knowledge Qwen3.7 Flash leads

Llama-3.3-70B-Instruct: 30.5 (#220), Qwen3.7 Flash: 48.9 (#69)

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
GPQA Diamond47.4%82.3%
Confabulations22.8%—
Vectara Hallucination Rate4.1%—
LMArena Expert1225—
MMLU86.3%—

Multilingual Not comparable

Llama-3.3-70B-Instruct: 40.1 (#215), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
LMArena Non-English1236—
LMArena Chinese1217—
LMArena French1280—
LMArena German1251—
LMArena Japanese1149—
LMArena Korean1142—
LMArena Russian1252—
LMArena Spanish1269—

Instruction Following Not comparable

Llama-3.3-70B-Instruct: 71.3 (#152), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
LiveBench Instruction Following82.7%—
LMArena Instruction Following1242—

Long Context Not comparable

Llama-3.3-70B-Instruct: 26.4 (#290), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
Fiction.LiveBench33.3%—
LMArena Longer Query1256—

Writing & Preference Not comparable

Llama-3.3-70B-Instruct: 47.8 (#203), Qwen3.7 Flash: —

BenchmarkLlama-3.3-70B-InstructQwen3.7 Flash
LMArena Text1274—
LMArena Creative Writing1250—
LMArena Multi-Turn1279—
LiveBench Language39.2%—

Frequently asked questions

Is Llama-3.3-70B-Instruct better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.3 on the Noometry Index.

Which is cheaper, Llama-3.3-70B-Instruct or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Llama-3.3-70B-Instruct lists at $0.10 and $0.32.

Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 128K.

How many benchmarks do Llama-3.3-70B-Instruct and Qwen3.7 Flash share?

3 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Qwen3.7 Flash has 7.

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