Model comparison
Gemini 2.5 Flash-Lite vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 17× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 5 categories and Qwen3-Coder 480B-A35B Instruct in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3-Coder 480B-A35B Instruct leads 42.0 to 33.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 36.4 | 37.7 |
| Released | 2025-06-17 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.40 | $7.50 |
| Results tracked | 33 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#167), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 35.2% | 41.2% |
| LMArena Coding | 1373 | 1413 |
| ALE-Bench | 325.9 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 27.8 (#89), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash-Lite: 21.5 (#196), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 49.5% |
| LMArena Hard Prompts | 1377 | 1372 |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.93 | — |
Math Too close to call
Gemini 2.5 Flash-Lite: 35.5 (#144), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1373 | 1364 |
| Omni-MATH | 48% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash-Lite: 32.1 (#206), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1373 | 1337 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 28.6 (#109), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.5 (#129), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1369 | 1345 |
| LMArena Chinese | 1404 | 1356 |
| LMArena French | 1388 | 1394 |
| LMArena German | 1390 | 1324 |
| LMArena Japanese | 1359 | 1309 |
| LMArena Korean | 1358 | 1307 |
| LMArena Russian | 1373 | 1367 |
| LMArena Spanish | 1396 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash-Lite: 70.2 (#163), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1366 | 1356 |
| IFEval | 81% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash-Lite: 33.3 (#257), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1373 | 1379 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 57.0 (#130), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1379 | 1356 |
| LMArena Creative Writing | 1366 | 1333 |
| LMArena Multi-Turn | 1367 | 1365 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 17× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3-Coder 480B-A35B Instruct?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Gemini 2.5 Flash-Lite or Qwen3-Coder 480B-A35B Instruct better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 36.2 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen3-Coder 480B-A35B Instruct share?
20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.