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Every score has a dated snapshot.

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  3. Gemini 2.0 Flash Thinking vs Llama 3.1 405B

Pairwise benchmark snapshot · Aug 1, 2026

Gemini 2.0 Flash Thinking vs Llama 3.1 405B benchmark

In this head-to-head showdown, Gemini 2.0 Flash Thinking delivers higher overall intelligence and human-preferred responses (Elo 1,490 vs 1,370), while Gemini 2.0 Flash Thinking leads in SWE-bench software engineering benchmarks (66.8%), while 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: Gemini 2.0 Flash Thinking holds the advantage over Llama 3.1 405B in overall benchmark performance and human evaluation rankings. Choose Gemini 2.0 Flash Thinking for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

10 direct benchmark disciplines evaluated across capability, speed, and cost

Gemini 2.0 Flash Thinking (10)Llama 3.1 405B (0)
Gemini 2.0 Flash Thinking
10 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
Llama 3.1 405B
0 of 10 Wins
Competitive baseline across remaining benchmarks
Google
Leads 10 of 10 metrics
Gemini 2.0 Flash Thinking

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

Elo 1,490$0.4/1M out
Meta
Llama 3.1 405B

Meta flagship open-weight 405B dense foundation model with 128k context window.

Elo 1,370$3.5/1M out

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.

Thinking Delay
220 ms
Standard speed
Reasoning Depth
~2,400
Internal tokens
Cost / 1k Calls
$1.13
6.6× standard bill
Accuracy Boost
+4.8% accuracy
STEM & SWE-bench
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 LeaderGemini 2.0 Flash Thinking Wins

Gemini 2.0 Flash Thinking

Δ 120 Arena Elo pts

Throughput LeaderGemini 2.0 Flash Thinking Wins

Gemini 2.0 Flash Thinking

115 tok/s

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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 2.0 Flash Thinking (10)vsLlama 3.1 405B (0)
Gemini 2.0 Flash Thinking: 10W (100%)Overall: Gemini 2.0 Flash ThinkingLlama 3.1 405B: 0W (0%)
← Gemini 2.0 Flash ThinkingLlama 3.1 405B →
🏆Gemini 2.0 Flash Thinking(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 2.0 Flash ThinkingvsLlama 3.1 405B
Preference Elo
1,490vs1,370+120
Coding Elo
1,515vs1,385+130
SWE-bench
66.8%vs58.4%+8.4%
LiveBench
67%vs61.2%+5.8%
GPQA Diamond
81%vs75.2%+5.8%
Gemini 2.0 Flash Thinking: 5WLlama 3.1 405B: 0W
🏆Gemini 2.0 Flash Thinking(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 2.0 Flash ThinkingvsLlama 3.1 405B
Output speed
115 tok/svs42 tok/s+73 tok/s
Time to first token
220 msvs360 ms+140 ms
Gemini 2.0 Flash Thinking: 2WLlama 3.1 405B: 0W
🏆Gemini 2.0 Flash Thinking(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 2.0 Flash ThinkingvsLlama 3.1 405B
Output price
$0.4/1Mvs$3.5/1M+$3.1/1M
Input price
$0.1/1Mvs$1.25/1M+$1.15/1M
Context window
1Mvs128k+921k
Gemini 2.0 Flash Thinking: 3WLlama 3.1 405B: 0W

Side-by-Side Benchmark Matrix

Preference Elo+120
Gemini 2.0 Flash Thinking1,490
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B1,370
seed-bootstrap · Aug 1, 2026
Coding Elo+130
Gemini 2.0 Flash Thinking1,515
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B1,385
seed-bootstrap · Aug 1, 2026
LiveBench+5.8%
Gemini 2.0 Flash Thinking67%
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B61.2%
seed-bootstrap · Aug 1, 2026
SWE-bench+8.4%
Gemini 2.0 Flash Thinking66.8%
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B58.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+5.8%
Gemini 2.0 Flash Thinking81%
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Time to first token+140 ms
Gemini 2.0 Flash Thinking220 ms
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Output speed+73 tok/s
Gemini 2.0 Flash Thinking115 tok/s
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$1.15/1M
Gemini 2.0 Flash Thinking$0.1/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Output price+$3.1/1M
Gemini 2.0 Flash Thinking$0.4/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Context window+921k
Gemini 2.0 Flash Thinking1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 2.0 Flash ThinkingLlama 3.1 405BAdvantage Delta
Preference Elo
1,490
seed-bootstrap · Aug 1, 2026
1,370
seed-bootstrap · Aug 1, 2026
+120
Coding Elo
1,515
seed-bootstrap · Aug 1, 2026
1,385
seed-bootstrap · Aug 1, 2026
+130
LiveBench
67%
seed-bootstrap · Aug 1, 2026
61.2%
seed-bootstrap · Aug 1, 2026
+5.8%
SWE-bench
66.8%
seed-bootstrap · Aug 1, 2026
58.4%
seed-bootstrap · Aug 1, 2026
+8.4%
GPQA Diamond
81%
seed-bootstrap · Aug 1, 2026
75.2%
seed-bootstrap · Aug 1, 2026
+5.8%
Time to first token
220 ms
seed-bootstrap · Aug 1, 2026
360 ms
seed-bootstrap · Aug 1, 2026
+140 ms
Output speed
115 tok/s
seed-bootstrap · Aug 1, 2026
42 tok/s
seed-bootstrap · Aug 1, 2026
+73 tok/s
Input price
$0.1/1M
seed-bootstrap · Aug 1, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
+$1.15/1M
Output price
$0.4/1M
seed-bootstrap · Aug 1, 2026
$3.5/1M
seed-bootstrap · Aug 1, 2026
+$3.1/1M
Context window
1M
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
+921k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 90% 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
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Estimated Cost Delta

Gemini 2.0 Flash Thinking is estimated to save $86.75/month ($1,041/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking when repo-level coding accuracy is the constraint.
  • 2
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGemini 2.0 Flash Thinking

Higher SWE-bench (66.8%).

High-volume chatGemini 2.0 Flash Thinking

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

Voice / low-latency UIGemini 2.0 Flash Thinking

Lower TTFT (220 ms).

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 agentsGemini 2.0 Flash ThinkingHigher SWE-bench (66.8%).
High-volume chatGemini 2.0 Flash ThinkingLower output list price ($0.4/1M).
Voice / low-latency UIGemini 2.0 Flash ThinkingLower TTFT (220 ms).
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.
Community Sentiment

Cast Your Matchup Vote

0 total votes

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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

Llama 3.1 405B

Elo 1,370
SWE-bench58.4%
Speed (tok/s)42 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$3.5/1M

Frequently Asked Questions

Which is better overall, Gemini 2.0 Flash Thinking or Llama 3.1 405B?
Gemini 2.0 Flash Thinking has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 2.0 Flash Thinking or Llama 3.1 405B?
Gemini 2.0 Flash Thinking leads SWE-bench at 66.8% vs 58.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Gemini 2.0 Flash Thinking output tokens are $0.4/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.0 Flash Thinking or Llama 3.1 405B?
Gemini 2.0 Flash Thinking has the lower time-to-first-token (220 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 2.0 Flash Thinking accepts 1M tokens versus 128k.
Can I self-host either model?
Llama 3.1 405B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 Llama 3.1 405B 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 Llama 3.1 405B matchups →
Gemini 2.0 Flash Thinking vs Gemini 2.5 Flash (next gemini-flash)Llama 3.1 405B vs Llama 3.1 70B (next llama)Gemini 3 Flash vs Gemini 2.0 Flash ThinkingGemini 3.6 Flash vs Gemini 2.0 Flash ThinkingLlama 4 Maverick vs Gemini 2.0 Flash ThinkingGemini 3.7 Flash vs Gemini 2.0 Flash Thinking