Gemma 4 31B vs Qwen3.8 Omni Flash

Gemma 4 31B and Qwen3.8 Omni Flash cost about the same per output token ($0.40 vs $0.47 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Gemma 4 31B Replace Qwen3.8 Omni Flash

Gemma 4 31BGoogle

Coding: 39.0
Overall: 42.1
Output $/M: $0.40

Qwen3.8 Omni FlashQwen

Coding: No data
Overall: No data
Output $/M: $0.47

vs $0.40 vs $0.47 per 1M output tokens. Gemma 4 31B is 1.2x cheaper.

Gemma 4 31B or Qwen3.8 Omni Flash: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Qwen3.8 Omni Flash has none, so the two cannot be ranked on coding.

Pick Qwen3.8 Omni Flash for a larger context window (1M against 262K tokens).

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved task Model BQwen3.8 Omni FlashQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Gemma 4 31B has results on LiveBench coding, LMArena WebDev and AA Coding Index; Qwen3.8 Omni Flash has none yet. Compare them on price and context instead.

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 Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemma 4 31B has a AA Intelligence Index result, 14.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
Directional only
Long documents
Listed context window
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0003, Qwen3.8 Omni Flash $0.0004 per turn.
List prices

At a glance

Coding index: Gemma 4 31B 39.0 from 2 benchmarks, Qwen3.8 Omni Flash not benchmarked.
Widest category: None yet: no category has been tested on both models.
Widest single gap: None yet: no benchmark has tested both models.
Output price: Gemma 4 31B $0.40 against Qwen3.8 Omni Flash $0.47 per million output tokens, 1.2x apart.
Context window: Gemma 4 31B takes 262K tokens, Qwen3.8 Omni Flash 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards measured

Coding benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
LiveBench coding	49.0%	Not measured	Only Gemma 4 31B measured
LMArena WebDev	1367	Not measured	Only Gemma 4 31B measured
AA Coding Index	43.4	Not measured	Only Gemma 4 31B measured
SciCode	45.5%	Not measured	Only Gemma 4 31B measured
Terminal-Bench Hard (Artificial Analysis run)	36.4%	Not measured	Only Gemma 4 31B measured
WeirdML	52.3%	Not measured	Only Gemma 4 31B measured
ALE-Bench	925.5	Not measured	Only Gemma 4 31B measured
LMArena Text: coding	1459	Not measured	Only Gemma 4 31B measured
LMArena Text: software and IT	1463	Not measured	Only Gemma 4 31B measured
LMArena WebDev: React	1359	Not measured	Only Gemma 4 31B measured
LMArena WebDev: HTML	1380	Not measured	Only Gemma 4 31B measured
SciCode	8.9%	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 31 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Intelligence benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
AA Intelligence Index	14.7	Not measured	Only Gemma 4 31B measured
Epoch Capabilities Index	143.0	Not measured	Only Gemma 4 31B measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured

Agentic work benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
AA Agentic Index	4.2	Not measured	Only Gemma 4 31B measured
LiveBench research	44.4%	Not measured	Only Gemma 4 31B measured
LiveBench browser	4.0%	Not measured	Only Gemma 4 31B measured
LiveBench long agentic	13.3%	Not measured	Only Gemma 4 31B measured
τ²-Bench Telecom	65.5%	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 37 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured

Reasoning benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
LiveBench reasoning	68.3%	Not measured	Only Gemma 4 31B measured
GPQA Diamond (Artificial Analysis run)	85.7%	Not measured	Only Gemma 4 31B measured
Humanity's Last Exam (Artificial Analysis run)	23.6%	Not measured	Only Gemma 4 31B measured
GPQA Diamond (Epoch AI run)	75.8%	Not measured	Only Gemma 4 31B measured
LMArena Text: hard prompts	1448	Not measured	Only Gemma 4 31B measured
LMArena Text: expert	1464	Not measured	Only Gemma 4 31B measured
LMArena Text: hard prompts in English	1456	Not measured	Only Gemma 4 31B measured
LMArena Vision: diagrams	1283	Not measured	Only Gemma 4 31B measured
LMArena Vision: homework	1310	Not measured	Only Gemma 4 31B measured
Kagi LLM Benchmark	63.5%	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 13 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Math benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
OTIS Mock AIME	73.3%	Not measured	Only Gemma 4 31B measured
LMArena Text: math	1463	Not measured	Only Gemma 4 31B measured
LMArena Text: mathematical work	1465	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 11 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured

Knowledge benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
CaseLaw (Vals AI)	52.6%	Not measured	Only Gemma 4 31B measured
MortgageTax (Vals AI)	61.4%	Not measured	Only Gemma 4 31B measured
SimpleQA Verified	10.4%	Not measured	Only Gemma 4 31B measured
LMArena Text: science	1457	Not measured	Only Gemma 4 31B measured
LMArena Text: medicine and healthcare	1451	Not measured	Only Gemma 4 31B measured
LMArena Text: legal and government	1438	Not measured	Only Gemma 4 31B measured
LMArena Text: business and finance	1430	Not measured	Only Gemma 4 31B measured
FACTS Benchmark Suite	45.3%	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 12 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Web design benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
LiveBench design	58.4%	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 8 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index31 boards measured

General benchmarks for Gemma 4 31B and Qwen3.8 Omni Flash
Benchmark	Gemma 4 31B	Qwen3.8 Omni Flash	Leader
LiveBench data analysis	53.3%	Not measured	Only Gemma 4 31B measured
SAGE (Vals AI)	55.0%	Not measured	Only Gemma 4 31B measured
IFBench	75.6%	Not measured	Only Gemma 4 31B measured
Long context reasoning (AA-LCR)	69.7%	Not measured	Only Gemma 4 31B measured
DTBench	82.7%	Not measured	Only Gemma 4 31B measured
LMCA	39.3%	Not measured	Only Gemma 4 31B measured
Surface Evolver Bench	30.6%	Not measured	Only Gemma 4 31B measured
LMArena Text	1443	Not measured	Only Gemma 4 31B measured
LMArena Text: instruction following	1433	Not measured	Only Gemma 4 31B measured
LMArena Text: creative writing	1417	Not measured	Only Gemma 4 31B measured
LMArena Vision	1276	Not measured	Only Gemma 4 31B measured
LMArena Text: English	1451	Not measured	Only Gemma 4 31B measured
LMArena Text: non-English	1430	Not measured	Only Gemma 4 31B measured
LMArena Text: Chinese	1475	Not measured	Only Gemma 4 31B measured
LMArena Text: French	1436	Not measured	Only Gemma 4 31B measured
LMArena Text: Spanish	1442	Not measured	Only Gemma 4 31B measured
LMArena Text: Russian	1460	Not measured	Only Gemma 4 31B measured
LMArena Text: Polish	1433	Not measured	Only Gemma 4 31B measured
LMArena Text: multi-turn	1452	Not measured	Only Gemma 4 31B measured
LMArena Text: longer queries	1446	Not measured	Only Gemma 4 31B measured
LMArena Text: writing and language	1432	Not measured	Only Gemma 4 31B measured
LMArena Text: entertainment and media	1405	Not measured	Only Gemma 4 31B measured
LMArena Vision: English	1271	Not measured	Only Gemma 4 31B measured
LMArena Vision: Chinese	1326	Not measured	Only Gemma 4 31B measured
LMArena Vision: reading text	1282	Not measured	Only Gemma 4 31B measured
LMArena Vision: humor	1280	Not measured	Only Gemma 4 31B measured
LMArena Vision: captioning	1218	Not measured	Only Gemma 4 31B measured
LMArena Vision: recognizing things	1226	Not measured	Only Gemma 4 31B measured
LMArena Vision: creative writing	1285	Not measured	Only Gemma 4 31B measured
LMArena Document	1425	Not measured	Only Gemma 4 31B measured
EQ-Bench 4	1120	Not measured	Only Gemma 4 31B measured
Neither model has a result on the other 17 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

Gemma 4 31B$0.0003Fits in one request

Qwen3.8 Omni Flash$0.0004Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request

Qwen3.8 Omni Flash$0.0089Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request

Qwen3.8 Omni Flash$0.035Fits in one request

Gemma 4 31B 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.

Specifications of Gemma 4 31B and Qwen3.8 Omni Flash
Specification	Google Gemma 4 31B	Qwen3.8 Omni Flash
Maker	Google	Qwen
Weights	Open weights	No public weights listed
Released	April 2, 2026	September 21, 2026
Context window	262K	1M
Input $/Mtok	$0.14	$0.15
Output $/Mtok	$0.40	$0.47
Coding index	39.0	Not benchmarked
Independent measurements behind it	2	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemma 4 31B better than Qwen3.8 Omni Flash for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Qwen3.8 Omni Flash has none, so the two cannot be ranked on coding. Pick Qwen3.8 Omni Flash for a larger context window (1M against 262K tokens).

Which is cheaper, Gemma 4 31B or Qwen3.8 Omni Flash?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; Qwen3.8 Omni Flash costs $0.15 and $0.47. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash, with 1M tokens against 262K.

Has any benchmark tested both Gemma 4 31B and Qwen3.8 Omni Flash?

No benchmark has tested both yet. Gemma 4 31B has results on LiveBench coding, LMArena WebDev and AA Coding Index; Qwen3.8 Omni Flash has none yet. Compare them on price and context instead. Data as of October 22, 2026.

Gemma 4 31B or Qwen3.8 Omni Flash: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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