Gemma 4 26B A4B vs Qwen3.5-Flash
Qwen3.5-Flash costs 2.3x less per output token than Gemma 4 26B A4B ($0.26 vs $0.60 per million). Updated October 22, 2026; 33 benchmarks have a result for both.
Gemma 4 26B A4B or Qwen3.5-Flash: which to pick
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.
Pick Gemma 4 26B A4B for work measured by LMArena WebDev or ALE-Bench, where it leads.
- Shared results
- 33
- Gemma 4 26B A4B only
- 22
- Qwen3.5-Flash only
- 22
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Qwen3.5-Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemma 4 26B A4B has a AA Intelligence Index result, 16.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemma 4 26B A4B has a AA Agentic Index result, 2.9.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.5-Flash has a GPQA Diamond result, 82.8%.
Directional only
Math
AIME
No call
Only Qwen3.5-Flash has a AIME result, 92.5%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.5-Flash has a MMLU Pro result, 84.1%.
Directional only
Long documents
Listed context window
Qwen3.5-Flash
Qwen3.5-Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-Flash
Gemma 4 26B A4B $0.0004, Qwen3.5-Flash $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.5-Flash has the number, $0.40.
Directional only
At a glance
- Coding index
- Gemma 4 26B A4B not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
- Widest category
- Coding, 13.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- ALE-Bench: Gemma 4 26B A4B 927.2 against Qwen3.5-Flash 265.9, 22.0 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.60 against Qwen3.5-Flash $0.26 per million output tokens, 2.3x apart.
- Context window
- Gemma 4 26B A4B takes 262K tokens, Qwen3.5-Flash 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemma 4 26B A4B | Bars | Qwen3.5-Flash | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 1 | ||
| Math | 2 | 1 | ||
| Knowledge | 4 | 0 | ||
| General | 14 | 1 | ||
| All shared boards | 29 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | 1360 | 1244 | Gemma 4 26B A4B |
| AA Coding Index | 39.3 | Not measured | Only Gemma 4 26B A4B measured |
| LiveCodeBench (Vals AI) | Not measured | 83.3% | Only Qwen3.5-Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 64.4% | Only Qwen3.5-Flash measured |
| SciCode | 40.0% | Not measured | Only Gemma 4 26B A4B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Gemma 4 26B A4B measured |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | 265.9 | Gemma 4 26B A4B |
| LMArena Text: coding | 1446 | 1412 | Gemma 4 26B A4B |
| LMArena Text: software and IT | 1454 | 1416 | Gemma 4 26B A4B |
| LMArena WebDev: React | 1351 | 1229 | Gemma 4 26B A4B |
| LMArena WebDev: HTML | 1362 | 1291 | Gemma 4 26B A4B |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | Not measured | Only Gemma 4 26B A4B measured |
| Epoch Capabilities Index | 141.9 | 143.5 | Qwen3.5-Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | Not measured | Only Gemma 4 26B A4B measured |
| τ²-Bench Telecom | 43.6% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.8% | Only Qwen3.5-Flash measured |
| MMMU Pro (Vals AI) | Not measured | 81.9% | Only Qwen3.5-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | Not measured | Only Gemma 4 26B A4B measured |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | Not measured | Only Gemma 4 26B A4B measured |
| GPQA Diamond (Epoch AI run) | 73.2% | 82.3% | Qwen3.5-Flash |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.5-Flash measured |
| Mystery game puzzles | Not measured | 20.0% | Only Qwen3.5-Flash measured |
| LMArena Text: hard prompts | 1438 | 1403 | Gemma 4 26B A4B |
| LMArena Text: expert | 1447 | 1407 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1409 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: homework | 1293 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AIME | Not measured | 92.5% | Only Qwen3.5-Flash measured |
| OTIS Mock AIME | 82.2% | 84.4% | Qwen3.5-Flash |
| FrontierMath, tiers 1 to 3 | Not measured | 18.2% | Only Qwen3.5-Flash measured |
| LMArena Text: math | 1470 | 1407 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1413 | Gemma 4 26B A4B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.1% | Only Qwen3.5-Flash measured |
| LegalBench (Vals AI) | Not measured | 84.3% | Only Qwen3.5-Flash measured |
| CaseLaw (Vals AI) | Not measured | 56.0% | Only Qwen3.5-Flash measured |
| CorpFin (Vals AI) | Not measured | 63.6% | Only Qwen3.5-Flash measured |
| TaxEval (Vals AI) | Not measured | 72.2% | Only Qwen3.5-Flash measured |
| MortgageTax (Vals AI) | Not measured | 67.4% | Only Qwen3.5-Flash measured |
| MedCode (Vals AI) | Not measured | 33.0% | Only Qwen3.5-Flash measured |
| SimpleQA Verified | Not measured | 20.3% | Only Qwen3.5-Flash measured |
| LMArena Text: science | 1446 | 1415 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1407 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1457 | 1398 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1394 | Gemma 4 26B A4B |
| FACTS Benchmark Suite | 42.7% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 7 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 42.5% | Only Qwen3.5-Flash measured |
| MedScribe (Vals AI) | Not measured | 70.6% | Only Qwen3.5-Flash measured |
| IFBench | 72.4% | Not measured | Only Gemma 4 26B A4B measured |
| Long context reasoning (AA-LCR) | 65.7% | Not measured | Only Gemma 4 26B A4B measured |
| DTBench | 74.9% | 82.9% | Qwen3.5-Flash |
| LMCA | 29.7% | 29.1% | Gemma 4 26B A4B |
| LMArena Text | 1434 | 1397 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1374 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1400 | 1343 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: English | 1444 | 1404 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1385 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1445 | Gemma 4 26B A4B |
| LMArena Text: German | Not measured | 1390 | Only Qwen3.5-Flash measured |
| LMArena Text: Japanese | Not measured | 1369 | Only Qwen3.5-Flash measured |
| LMArena Text: Korean | Not measured | 1344 | Only Qwen3.5-Flash measured |
| LMArena Text: French | 1460 | 1413 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1400 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1434 | 1380 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1376 | Only Qwen3.5-Flash measured |
| LMArena Text: multi-turn | 1441 | 1393 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1392 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1405 | 1369 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1347 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: Chinese | 1312 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | 1268 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: humor | 1272 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3.5-Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.5-Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemma 4 26B A4B | Qwen3.5-Flash |
|---|---|---|
| Maker | Qwen | |
| Weights | Open weights | No public weights listed |
| Released | April 3, 2026 | February 25, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.15 | $0.065 |
| Output $/Mtok | $0.60 | $0.26 |
| Coding index | Not benchmarked | 41.1 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.40 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Qwen3.5-Flash for coding?
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for work measured by LMArena WebDev or ALE-Bench, where it leads.
Which is cheaper, Gemma 4 26B A4B or Qwen3.5-Flash?
Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.
Which has the bigger context window, Gemma 4 26B A4B or Qwen3.5-Flash?
Qwen3.5-Flash, with 1M tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs Qwen3.5-Flash comparison based on?
33 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.