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Gemma 4 31B vs MiniMax M3.1 Flash

MiniMax M3.1 Flash leads Gemma 4 31B on coding, 59.0 to 39.0 on the Vibe Coding Index, and Gemma 4 31B costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
0
MiniMax M3.1 FlashMiniMax
Coding
59.0
Overall
60.6
Output $/M
$0.60
14
vs boards won of 14 shared

Gemma 4 31B or MiniMax M3.1 Flash: which to pick

Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 39.0 for Gemma 4 31B.

Pick Gemma 4 31B for output tokens 1.5x cheaper ($0.40 vs $0.60 per million).

Shared results
14
Gemma 4 31B only
58
MiniMax M3.1 Flash only
6
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.

At a glance

Coding index
Gemma 4 31B 39.0 from 2 benchmarks, MiniMax M3.1 Flash 59.0 from 4 benchmarks.
Widest category
Agentic work, 45.9 points apart on average over 3 shared benchmarks.
Widest single gap
LiveBench browser: Gemma 4 31B 4.0% against MiniMax M3.1 Flash 92.0%, 88.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against MiniMax M3.1 Flash $0.60 per million output tokens, 1.5x apart.
Context window
Gemma 4 31B takes 262K tokens, MiniMax M3.1 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.

Boards won, where both have a result
CategoryGemma 4 31BBarsMiniMax M3.1 FlashTies
Coding05
Intelligence01
Agentic work03
Reasoning02
Web design01
General02
All shared boards014
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
LiveBench coding49.0%83.9%MiniMax M3.1 Flash
LMArena WebDev13671587MiniMax M3.1 Flash
AA Coding Index43.4Not measuredOnly Gemma 4 31B measured
Terminal-Bench 4 (Vals AI)Not measured25.3%Only MiniMax M3.1 Flash measured
Vibe Code Bench (Vals AI)Not measured73.9%Only MiniMax M3.1 Flash measured
SciCode45.5%53.4%MiniMax M3.1 Flash
Terminal-Bench Hard (Artificial Analysis run)36.4%Not measuredOnly Gemma 4 31B measured
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.5Not measuredOnly Gemma 4 31B measured
LMArena Text: coding1459Not measuredOnly Gemma 4 31B measured
LMArena Text: software and IT1463Not measuredOnly Gemma 4 31B measured
LMArena WebDev: React13591609MiniMax M3.1 Flash
LMArena WebDev: HTML13801529MiniMax M3.1 Flash
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
AA Intelligence Index14.742.7MiniMax M3.1 Flash
Epoch Capabilities Index143.0Not measuredOnly Gemma 4 31B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
AA Agentic Index4.2Not measuredOnly Gemma 4 31B measured
LiveBench research44.4%72.7%MiniMax M3.1 Flash
LiveBench browser4.0%92.0%MiniMax M3.1 Flash
LiveBench long agentic13.3%34.7%MiniMax M3.1 Flash
Tax Agent Bench (Vals AI)Not measured32.1%Only MiniMax M3.1 Flash measured
Legal Research Bench (Vals AI)Not measured34.1%Only MiniMax M3.1 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured7.5%Only MiniMax M3.1 Flash measured
τ²-Bench Telecom65.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
LiveBench reasoning68.3%82.9%MiniMax M3.1 Flash
GPQA Diamond (Artificial Analysis run)85.7%Not measuredOnly Gemma 4 31B measured
Humanity's Last Exam (Artificial Analysis run)23.6%48.0%MiniMax M3.1 Flash
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly Gemma 4 31B measured
LMArena Text: hard prompts1448Not measuredOnly Gemma 4 31B measured
LMArena Text: expert1464Not measuredOnly Gemma 4 31B measured
LMArena Text: hard prompts in English1456Not measuredOnly Gemma 4 31B measured
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%Not measuredOnly 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, none shared
Math benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
OTIS Mock AIME73.3%Not measuredOnly Gemma 4 31B measured
LMArena Text: math1463Not measuredOnly Gemma 4 31B measured
LMArena Text: mathematical work1465Not measuredOnly 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, none shared
Knowledge benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
CaseLaw (Vals AI)52.6%Not measuredOnly Gemma 4 31B measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science1457Not measuredOnly Gemma 4 31B measured
LMArena Text: medicine and healthcare1451Not measuredOnly Gemma 4 31B measured
LMArena Text: legal and government1438Not measuredOnly Gemma 4 31B measured
LMArena Text: business and finance1430Not measuredOnly Gemma 4 31B measured
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
LiveBench design58.4%74.0%MiniMax M3.1 Flash
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
Vals IndexNot measured53.8%Only MiniMax M3.1 Flash measured
LiveBench data analysis53.3%71.4%MiniMax M3.1 Flash
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%Not measuredOnly Gemma 4 31B measured
Long context reasoning (AA-LCR)69.7%79.7%MiniMax M3.1 Flash
DTBench82.7%Not measuredOnly Gemma 4 31B measured
LMCA39.3%Not measuredOnly Gemma 4 31B measured
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text1443Not measuredOnly Gemma 4 31B measured
LMArena Text: instruction following1433Not measuredOnly Gemma 4 31B measured
LMArena Text: creative writing1417Not measuredOnly Gemma 4 31B measured
LMArena Vision1276Not measuredOnly Gemma 4 31B measured
LMArena Text: English1451Not measuredOnly Gemma 4 31B measured
LMArena Text: non-English1430Not measuredOnly Gemma 4 31B measured
LMArena Text: Chinese1475Not measuredOnly Gemma 4 31B measured
LMArena Text: French1436Not measuredOnly Gemma 4 31B measured
LMArena Text: Spanish1442Not measuredOnly Gemma 4 31B measured
LMArena Text: Russian1460Not measuredOnly Gemma 4 31B measured
LMArena Text: Polish1433Not measuredOnly Gemma 4 31B measured
LMArena Text: multi-turn1452Not measuredOnly Gemma 4 31B measured
LMArena Text: longer queries1446Not measuredOnly Gemma 4 31B measured
LMArena Text: writing and language1432Not measuredOnly Gemma 4 31B measured
LMArena Text: entertainment and media1405Not measuredOnly Gemma 4 31B measured
LMArena Vision: English1271Not measuredOnly Gemma 4 31B measured
LMArena Vision: Chinese1326Not measuredOnly Gemma 4 31B measured
LMArena Vision: reading text1282Not measuredOnly Gemma 4 31B measured
LMArena Vision: humor1280Not measuredOnly Gemma 4 31B measured
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing1285Not measuredOnly Gemma 4 31B measured
LMArena Document1425Not measuredOnly Gemma 4 31B measured
EQ-Bench 41120Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 31B and MiniMax M3.1 Flash
BenchmarkGemma 4 31BMiniMax M3.1 FlashLeader
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

Gemma 4 31B$0.0003Fits in one request
MiniMax M3.1 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
MiniMax M3.1 Flash$0.0093Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
MiniMax M3.1 Flash$0.036Fits 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 MiniMax M3.1 Flash
SpecificationGoogle Gemma 4 31BMiniMax M3.1 Flash
MakerGoogleMiniMax
WeightsOpen weightsNo public weights listed
ReleasedApril 2, 2026October 19, 2026
Context window262K1M
Input $/Mtok$0.14$0.15
Output $/Mtok$0.40$0.60
Coding index39.059.0
Independent measurements behind it24
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than MiniMax M3.1 Flash for coding?

Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 39.0 for Gemma 4 31B. Pick Gemma 4 31B for output tokens 1.5x cheaper ($0.40 vs $0.60 per million).

Which is cheaper, Gemma 4 31B or MiniMax M3.1 Flash?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; MiniMax M3.1 Flash costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or MiniMax M3.1 Flash?

MiniMax M3.1 Flash, with 1M tokens against 262K.

How many benchmarks is the Gemma 4 31B vs MiniMax M3.1 Flash comparison based on?

14 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and MiniMax M3.1 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemma-4-31b-it-vs-minimax-minimax-m3-1-flash" title="Gemma 4 31B vs MiniMax M3.1 Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemma-4-31b-it-vs-minimax-minimax-m3-1-flash">LLMBenchmark.ai, Gemma 4 31B vs MiniMax M3.1 Flash</a></p>