Llama 3.3 70B Instruct vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison

CharacteristicLlama 3.3 70B InstructQwen3-235B-A22B-Thinking-2507
CompanyMetaAlibaba
Release DateDecember 6, 2024July 24, 2025
Parameters70B235B
MultimodalNoNo
Context (input)128K256K
Context (output)128K131K
Input Price / 1M$0.88$0.30
Output Price / 1M$0.88$3.00
Average Score0.80.9
Benchmarks
IFEval0.90.9

Visual Benchmark Comparison

Llama 3.3 70B Instruct
Qwen3-235B-A22B-Thinking-2507
IFEval0.9 vs 0.9
0.9
0.9

Verdict

Qwen3-235B-A22B-Thinking-2507 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Llama 3.3 70B Instruct — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.

API Cost

Llama 3.3 70B Instruct is 1.9x cheaper: input $0.88/1M vs $0.30/1M tokens.

Context Window

Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 128K tokens.

Recency

Qwen3-235B-A22B-Thinking-2507 is newer: released 7/24/2025 vs 12/6/2024.

More About These Models

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Frequently Asked Questions

Which is better for coding — Llama 3.3 70B Instruct or Qwen3-235B-A22B-Thinking-2507?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Llama 3.3 70B Instruct or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $0.88.
Which has a larger context window — Llama 3.3 70B Instruct or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256,000 tokens vs 128,000.

The Llama 3.3 70B Instruct and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Llama 3.3 70B Instruct or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.