Independent ReportPairwise benchmark snapshot · Aug 17, 2026

noindex (thin pair)

Google: Gemma 4 31B(Google)

MoonshotAI: Kimi K2 0711(Moonshot)

Google: Gemma 4 31B vs MoonshotAI: Kimi K2 0711 benchmark

Name: Google: Gemma 4 31B vs MoonshotAI: Kimi K2 0711 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Google: Gemma 4 31B is more budget-friendly at $0.34/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Google: Gemma 4 31B holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

MoonshotAI: Kimi K2 0711Top code solve rate

ReasoningGPQA / Live

MoonshotAI: Kimi K2 0711Top logical accuracy

Best Value$/1M Tok

Google: Gemma 4 31BLowest API billing cost

Speed / TokTok/Sec

MoonshotAI: Kimi K2 0711Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Google: Gemma 4 31B (3)MoonshotAI: Kimi K2 0711 (0)

Google: Gemma 4 31B

3 of 3 Wins

✓Input price✓Output price✓Context window

MoonshotAI: Kimi K2 0711

0 of 3 Wins

Competitive baseline across remaining benchmarks

Google

Leads 3 of 3

Google: Gemma 4 31B

Auto-discovered from OpenRouter (google/gemma-4-31b-it). Preview until a second source matches.

In: $0.1 · Out: $0.34/1M

Moonshot

MoonshotAI: Kimi K2 0711

Auto-discovered from OpenRouter (moonshotai/kimi-k2). Preview until a second source matches.

K2 BaseElo 1,465In: $0.57 · Out: $2.3/1M

Top Rival Showdowns for Google: Gemma 4 31B

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderGoogle: Gemma 4 31B Wins

Google: Gemma 4 31B

$0.33999999999999997 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Google: Gemma 4 31B (3)vsMoonshotAI: Kimi K2 0711 (7)

Google: Gemma 4 31B: 3W (30%)MoonshotAI: Kimi K2 0711: 7W (70%)

← Google: Gemma 4 31BMoonshotAI: Kimi K2 0711 →

🏆MoonshotAI: Kimi K2 0711 Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark

Google: Gemma 4 31BvsMoonshotAI: Kimi K2 0711

Preference Elo

—vs1,465

Coding Elo

—vs1,470

SWE-bench

—vs65.8%

LiveBench

—vs62.8%

GPQA Diamond

—vs76.5%

Google: Gemma 4 31B: 0WMoonshotAI: Kimi K2 0711: 5W

🏆MoonshotAI: Kimi K2 0711 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Google: Gemma 4 31BvsMoonshotAI: Kimi K2 0711

Output speed

—vs85 tok/s

Time to first token

—vs240 ms

Google: Gemma 4 31B: 0WMoonshotAI: Kimi K2 0711: 2W

🏆Google: Gemma 4 31B Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Google: Gemma 4 31BvsMoonshotAI: Kimi K2 0711

Output price

$0.34/1Mvs$2.3/1M+$1.96/1M

Input price

$0.1/1Mvs$0.57/1M+$0.47/1M

Context window

262kvs131k+131k

Google: Gemma 4 31B: 3WMoonshotAI: Kimi K2 0711: 0W

Side-by-Side Benchmark Matrix

Google: Gemma 4 31BMoonshotAI: Kimi K2 0711

Preference Elo

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 07111,465

Coding Elo

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 07111,470

LiveBench

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071162.8%

SWE-bench

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071165.8%

GPQA Diamond

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071176.5%

Time to first token

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 0711240 ms

Output speed

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071185 tok/s

Input priceGoogle: Gemma 4 31B +$0.47/1M

Google: Gemma 4 31B$0.1/1M

MoonshotAI: Kimi K2 0711$0.57/1M

Output priceGoogle: Gemma 4 31B +$1.96/1M

Google: Gemma 4 31B$0.34/1M

MoonshotAI: Kimi K2 0711$2.3/1M

Context windowGoogle: Gemma 4 31B +131k

Google: Gemma 4 31B262k

MoonshotAI: Kimi K2 0711131k

Benchmark	Google: Gemma 4 31B	MoonshotAI: Kimi K2 0711	Advantage Delta
Preference Elo	—	1,465 lmarena · Aug 17, 2026	—
Coding Elo	—	1,470 lmarena · Aug 17, 2026	—
LiveBench	—	62.8% livebench · Aug 17, 2026	—
SWE-bench	—	65.8% swebench · Aug 17, 2026	—
GPQA Diamond	—	76.5% seed-bootstrap · Aug 1, 2026	—
Time to first token	—	240 ms seed-bootstrap · Aug 1, 2026	—
Output speed	—	85 tok/s seed-bootstrap · Aug 1, 2026	—
Input price	$0.1/1M openrouter · Aug 17, 2026	$0.57/1M openrouter · Aug 17, 2026	+$0.47/1M
Output price	$0.34/1M openrouter · Aug 17, 2026	$2.3/1M openrouter · Aug 17, 2026	+$1.96/1M
Context window	262k openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	+131k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 84% with Google: Gemma 4 31B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Google: Gemma 4 31B$8.60 / mo

In: $3.5Out: $5.1

MoonshotAI: Kimi K2 0711$54.45 / mo

In: $19.95Out: $34.5

Estimated Cost Delta

Google: Gemma 4 31B is estimated to save $45.85/month ($550/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemma 4 31B:Pick Google: Gemma 4 31B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemma 4 31B

Lower output list price ($0.34/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemma 4 31B

Larger window (262k).

Screenshots / visionMoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemma 4 31B	Lower output list price ($0.34/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemma 4 31B	Larger window (262k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Google

Google: Gemma 4 31B

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0.1/1M

Output / 1M Tokens$0.34/1M

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

SWE-bench65.8%

Speed (tok/s)85 tok/s

Input / 1M Tokens$0.57/1M

Output / 1M Tokens$2.3/1M

Frequently Asked Questions

Which is better overall, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Google: Gemma 4 31B output tokens are $0.34/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?: We do not have TTFT for both models.
Which has the larger context window?: Google: Gemma 4 31B accepts 262k tokens versus 131k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemma 4 31B and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemma 4 31B matchups →|All MoonshotAI: Kimi K2 0711 matchups →

MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Gemini 3 Pro vs MoonshotAI: Kimi K2 0711 Gemini 3 Flash vs MoonshotAI: Kimi K2 0711 Kimi K3 vs MoonshotAI: Kimi K2 0711 Gemini 2.0 Flash Thinking vs MoonshotAI: Kimi K2 0711

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Google: Gemma 4 31BMoonshotAI: Kimi K2 0711

Preference Elo

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 07111,465

Coding Elo

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 07111,470

LiveBench

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071162.8%

SWE-bench

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071165.8%

GPQA Diamond

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071176.5%

Time to first token

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 0711240 ms

Output speed

Google: Gemma 4 31B—

MoonshotAI: Kimi K2 071185 tok/s

Input priceGoogle: Gemma 4 31B +$0.47/1M

Google: Gemma 4 31B$0.1/1M

MoonshotAI: Kimi K2 0711$0.57/1M

Output priceGoogle: Gemma 4 31B +$1.96/1M

Google: Gemma 4 31B$0.34/1M

MoonshotAI: Kimi K2 0711$2.3/1M

Context windowGoogle: Gemma 4 31B +131k

Google: Gemma 4 31B262k

MoonshotAI: Kimi K2 0711131k

Benchmark

Google: Gemma 4 31B

MoonshotAI: Kimi K2 0711

Advantage Delta

Preference Elo

—

1,465

lmarena · Aug 17, 2026

—

Coding Elo

—

1,470

lmarena · Aug 17, 2026

—

LiveBench

—

62.8%

livebench · Aug 17, 2026

—

SWE-bench

—

65.8%

swebench · Aug 17, 2026

—

GPQA Diamond

—

76.5%

seed-bootstrap · Aug 1, 2026

—

Time to first token

—

240 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

—

85 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.1/1M

openrouter · Aug 17, 2026

$0.57/1M

openrouter · Aug 17, 2026

+$0.47/1M

Output price

$0.34/1M

openrouter · Aug 17, 2026

$2.3/1M

openrouter · Aug 17, 2026

+$1.96/1M

Context window

262k

openrouter · Aug 17, 2026

131k

openrouter · Aug 17, 2026

+131k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemma 4 31B

Lower output list price ($0.34/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemma 4 31B

Larger window (262k).

Screenshots / visionMoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemma 4 31B	Lower output list price ($0.34/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemma 4 31B	Larger window (262k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Google: Gemma 4 31B output tokens are $0.34/1M versus $2.3/1M. Input prices and retry rates still move the real bill.

Which is faster, Google: Gemma 4 31B or MoonshotAI: Kimi K2 0711?

We do not have TTFT for both models.

Which has the larger context window?

Google: Gemma 4 31B accepts 262k tokens versus 131k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemma 4 31B and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.