Compare / Qwen3-235B-A22B-Instruct-2507 vs Llama 3.3 70B Instruct
Qwen3-235B-A22B-Instruct-2507 vs Llama 3.3 70B Instruct
Which is cheaper, which is more capable, and which does better at each kind of work, from 24 results on 4 sources that measured both models.
Of the 24 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Meta, every model from both labs.
Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct? The short answer
Pick Qwen3-235B-A22B-Instruct-2507: it scores higher (Intelligence Index 12.0 against 7.7) and costs less.
- Qwen3-235B-A22B-Instruct-2507 is cheaper: $0.30 against $0.64 per million tokens, 2.1 times less.
- Qwen3-235B-A22B-Instruct-2507 scores higher on the Artificial Analysis Intelligence Index: 12.0 against 7.7.
- Qwen3-235B-A22B-Instruct-2507 is newer: released 21 Jul 2025, against 6 Dec 2024 for Llama 3.3 70B Instruct.
- On third-party benchmarks, on the results both models have: Qwen3-235B-A22B-Instruct-2507 does better for agents and tool use, reasoning and knowledge and writing.
Head to head
Every fact side by side
| Qwen3-235B-A22B-Instruct-2507 | Llama 3.3 70B Instruct | |
|---|---|---|
| Price per million tokens | $0.15 in · $0.75 out | $0.59 in · $0.79 out |
| Blended (3 in : 1 out) | $0.30 | $0.64 |
| Cheapest host, blended | $0.15 (GMICloud, FP8) | $0.16 (DeepInfra, FP8) |
| Intelligence Index | 12.0 | 7.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | 85 |
| Context window | 262,144 tokens | 131,072 tokens |
| Released | 21 Jul 2025 (newer) | 6 Dec 2024 |
| Weights | Open | Open |
| Developer based in | China | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
From our research
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3-235B-A22B-Instruct-2507 | Llama 3.3 70B Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 109 · 235 of 387 measured | 1,422 | 1,318 |
| Business, management and finance · TextArena rating, higher is better 97 · 240 of 380 measured | 1,432 | 1,304 |
| Creative writing · TextArena rating, higher is better 122 · 228 of 385 measured | 1,378 | 1,285 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 153 · 203 of 243 measured | 12.0 | 7.7 |
| GPQA Diamond% of questions, higher is better 136 · 203 of 231 measured | 75.3% | 49.8% |
| Humanity's Last Exam% of questions, higher is better 144 · 229 of 242 measured | 11.1% | 3.6% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 3 results | ||
| Overall accuracy · BFCL% correct, higher is better 20 · 45 of 81 measured | 52.2%bfcl prompt | 31.9%bfcl fc |
| Irrelevance detection · BFCL% correct, higher is better 41 · 72 of 81 measured | 81.7%bfcl fc | 53.5%bfcl fc |
| Memory · BFCL% correct, higher is better 26 · 55 of 81 measured | 23.9%bfcl fc | 8.2%bfcl fc |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 80 · 171 of 230 measured | 49.0 | 26.2 |
| Requested-length error · UGI% off the requested word count, lower is better 69 · 43 of 230 measured | 15.0% | 10.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 64 · 51 of 230 measured | 0.36 | 0.37 |
Show all 24 results (12 more)
| Measure | Qwen3-235B-A22B-Instruct-2507 | Llama 3.3 70B Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 103 · 237 of 338 measured | 1,447 | 1,298 |
| Instruction following · TextArena rating, higher is better 104 · 244 of 387 measured | 1,414 | 1,293 |
| Writing, literature and language · TextArena rating, higher is better 115 · 242 of 386 measured | 1,396 | 1,292 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 113 · 112 of 195 measured | 46.1% | 47.1% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 177 · 211 of 233 measured | 33.9% | 15.7% |
| Terminal-Bench Hard% of tasks, higher is better 110 · 169 of 190 measured | 15.2% | 3.0% |
| τ²-bench telecom% of tasks, higher is better 127 · 146 of 193 measured | 33.3% | 26.6% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 5 results | ||
| Multi-turn tasks · BFCL% correct, higher is better 20 · 41 of 81 measured | 45.4%bfcl fc | 21.5%bfcl fc |
| Relevance detection · BFCL% correct, higher is better 8 · 1 of 81 measured | 93.8%bfcl prompt | 100.0%bfcl fc |
| Single-turn calls (curated) · BFCL% correct, higher is better 2 · 20 of 81 measured | 90.3%bfcl prompt | 88.0%bfcl fc |
| Single-turn calls (user-contributed) · BFCL% correct, higher is better 15 · 27 of 81 measured | 78.7%bfcl prompt | 76.6%bfcl fc |
| Web search · BFCL% correct, higher is better 20 · 38 of 81 measured | 54.0%bfcl fc | 10.0%bfcl fc |
Compare them with other models
Quick answers
Is Qwen3-235B-A22B-Instruct-2507 better than Llama 3.3 70B Instruct?
Pick Qwen3-235B-A22B-Instruct-2507: it scores higher (Intelligence Index 12.0 against 7.7) and costs less.
Which is cheaper, Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct?
Qwen3-235B-A22B-Instruct-2507 is cheaper: $0.30 against $0.64 per million tokens, 2.1 times less.
Which is better for agents and tool use, Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct?
Qwen3-235B-A22B-Instruct-2507 ranks 51 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 130 for Llama 3.3 70B Instruct.
Which is better for reasoning and knowledge, Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct?
Qwen3-235B-A22B-Instruct-2507 ranks 129 of 198 models on sale for hard questions across science, maths and general knowledge, against 177 for Llama 3.3 70B Instruct.
Which is better for writing, Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct?
Qwen3-235B-A22B-Instruct-2507 ranks 85 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 166 for Llama 3.3 70B Instruct.
Which has the bigger context window, Qwen3-235B-A22B-Instruct-2507 or Llama 3.3 70B Instruct?
Qwen3-235B-A22B-Instruct-2507: 262,144 tokens, against 131,072 for Llama 3.3 70B Instruct.
Run Qwen3-235B-A22B-Instruct-2507 and Llama 3.3 70B Instruct on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.