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Every score has a dated snapshot.

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  3. Gemini 2.0 Flash Thinking vs Meta: Muse Spark 1.2

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Gemini 2.0 Flash Thinking vs Meta: Muse Spark 1.2 benchmark

In this head-to-head showdown, Gemini 2.0 Flash Thinking is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Gemini 2.0 Flash Thinking and Meta: Muse Spark 1.2 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Gemini 2.0 Flash Thinking holds empirical advantage (2 of 2 metrics)

Coding / SWESWE-bench
Gemini 2.0 Flash ThinkingTop code solve rate
ReasoningGPQA / Live
Gemini 2.0 Flash ThinkingTop logical accuracy
Best Value$/1M Tok
Gemini 2.0 Flash ThinkingLowest API billing cost
Speed / TokTok/Sec
Gemini 2.0 Flash ThinkingFastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

Gemini 2.0 Flash Thinking (2)Meta: Muse Spark 1.2 (0)
Gemini 2.0 Flash Thinking
2 of 2 Wins
✓Input price✓Output price
Meta: Muse Spark 1.2
0 of 2 Wins
Competitive baseline across remaining benchmarks
Google
Leads 2 of 2
Gemini 2.0 Flash Thinking

Google experimental reasoning model that visualizes thoughts in real-time.

Elo 1,490In: $0.1 · Out: $0.4/1M
Meta
Meta: Muse Spark 1.2

Auto-discovered from OpenRouter (meta/muse-spark-1.2). Preview until a second source matches.

In: $1.25 · Out: $4.25/1M

Gemini 2.0 Flash Thinking Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (8k tokens)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
220 ms
Standard
CoT Tokens
~2,400
Internal reasoning
Cost / 1k
$1.13
6.6× base bill
Accuracy Boost
+4.8%
STEM & Logic
Top Rival Showdowns for Gemini 2.0 Flash Thinking
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderGemini 2.0 Flash Thinking Wins

Gemini 2.0 Flash Thinking

$0.4 / 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.

Gemini 2.0 Flash Thinking (9)vsMeta: Muse Spark 1.2 (0)
Gemini 2.0 Flash Thinking: 9W (100%)Overall: Gemini 2.0 Flash ThinkingMeta: Muse Spark 1.2: 0W (0%)
← Gemini 2.0 Flash Thinking1 tiesMeta: Muse Spark 1.2 →
🏆Gemini 2.0 Flash Thinking Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 2.0 Flash ThinkingvsMeta: Muse Spark 1.2
Preference Elo
1,490vs—
Coding Elo
1,515vs—
SWE-bench
66.8%vs—
LiveBench
67%vs—
GPQA Diamond
81%vs—
Gemini 2.0 Flash Thinking: 5WMeta: Muse Spark 1.2: 0W
🏆Gemini 2.0 Flash Thinking Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 2.0 Flash ThinkingvsMeta: Muse Spark 1.2
Output speed
115 tok/svs—
Time to first token
220 msvs—
Gemini 2.0 Flash Thinking: 2WMeta: Muse Spark 1.2: 0W
🏆Gemini 2.0 Flash Thinking Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 2.0 Flash ThinkingvsMeta: Muse Spark 1.2
Output price
$0.4/1Mvs$4.25/1M+$3.85/1M
Input price
$0.1/1Mvs$1.25/1M+$1.15/1M
Context window
1Mvs1M
Gemini 2.0 Flash Thinking: 2WMeta: Muse Spark 1.2: 0W

Side-by-Side Benchmark Matrix

Gemini 2.0 Flash ThinkingMeta: Muse Spark 1.2
Preference Elo
Gemini 2.0 Flash Thinking1,490
Meta: Muse Spark 1.2—
Coding Elo
Gemini 2.0 Flash Thinking1,515
Meta: Muse Spark 1.2—
LiveBench
Gemini 2.0 Flash Thinking67%
Meta: Muse Spark 1.2—
SWE-bench
Gemini 2.0 Flash Thinking66.8%
Meta: Muse Spark 1.2—
GPQA Diamond
Gemini 2.0 Flash Thinking81%
Meta: Muse Spark 1.2—
Time to first token
Gemini 2.0 Flash Thinking220 ms
Meta: Muse Spark 1.2—
Output speed
Gemini 2.0 Flash Thinking115 tok/s
Meta: Muse Spark 1.2—
Input priceGemini 2.0 Flash Thinking +$1.15/1M
Gemini 2.0 Flash Thinking$0.1/1M
Meta: Muse Spark 1.2$1.25/1M
Output priceGemini 2.0 Flash Thinking +$3.85/1M
Gemini 2.0 Flash Thinking$0.4/1M
Meta: Muse Spark 1.2$4.25/1M
Context window
Gemini 2.0 Flash Thinking1M
Meta: Muse Spark 1.21M
BenchmarkGemini 2.0 Flash ThinkingMeta: Muse Spark 1.2Advantage Delta
Preference Elo
1,490
lmarena · Aug 17, 2026
——
Coding Elo
1,515
lmarena · Aug 17, 2026
——
LiveBench
67%
livebench · Aug 17, 2026
——
SWE-bench
66.8%
swebench · Aug 17, 2026
——
GPQA Diamond
81%
seed-bootstrap · Aug 1, 2026
——
Time to first token
220 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
115 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.1/1M
seed-bootstrap · Aug 1, 2026
$1.25/1M
openrouter · Aug 17, 2026
+$1.15/1M
Output price
$0.4/1M
seed-bootstrap · Aug 1, 2026
$4.25/1M
openrouter · Aug 17, 2026
+$3.85/1M
Context window
1M
seed-bootstrap · Aug 1, 2026
1M
openrouter · Aug 17, 2026
—

Workload Cost & Savings Calculator

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

Save 91% with Gemini 2.0 Flash Thinking
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 2.0 Flash Thinking$9.50 / mo
In: $3.5Out: $6
Meta: Muse Spark 1.2$107.50 / mo
In: $43.75Out: $63.75
Estimated Cost Delta

Gemini 2.0 Flash Thinking is estimated to save $98.00/month ($1,176/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking when you are optimizing output cost.
  • 2
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGemini 2.0 Flash Thinking

Lower output list price ($0.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 2.0 Flash Thinking

Larger window (1M).

Screenshots / visionGemini 2.0 Flash Thinking

Gemini 2.0 Flash Thinking is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGemini 2.0 Flash ThinkingLower output list price ($0.4/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 2.0 Flash ThinkingLarger window (1M).
Screenshots / visionGemini 2.0 Flash ThinkingGemini 2.0 Flash Thinking 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
VS
Google

Gemini 2.0 Flash Thinking

Elo 1,490
SWE-bench66.8%
Speed (tok/s)115 tok/s
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.4/1M
Meta

Meta: Muse Spark 1.2

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$4.25/1M

Frequently Asked Questions

Which is better overall, Gemini 2.0 Flash Thinking or Meta: Muse Spark 1.2?
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, Gemini 2.0 Flash Thinking or Meta: Muse Spark 1.2?
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?
Gemini 2.0 Flash Thinking output tokens are $0.4/1M versus $4.25/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.0 Flash Thinking or Meta: Muse Spark 1.2?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 2.0 Flash Thinking accepts 1M tokens versus 1M.
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. Gemini 2.0 Flash Thinking and Meta: Muse Spark 1.2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 2.0 Flash Thinking matchups →|All Meta: Muse Spark 1.2 matchups →
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