Skip to content

Gemini 3.8 Flash (batch) vs Sonar

vs
Sonar

Perplexity

40#392
Signal-by-Signal Comparison
SignalGemini 3.8 Flash (batch)DeltaSonar
Capabilities
100
+50
50
Pricing
98
-1
99
Context window size
96
+15
81
Recency
100
+77
23
Output Capacity
77
-4
81
Overall Result
3 wins
of 5
2 wins
Gemini 3.8 Flash (batch) wins 3 of 5 signals

Score History

Score History (32 data points)
Gemini 3.8 Flash (batch)Sonar
Gemini 3.8 Flash (batch)

81

current score

Leader

Gemini 3.8 Flash (batch)

right now

Sonar

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.8 Flash (batch)

Google

Best Value
Per request$0.001312
Daily$4.38
Monthly$131.25
Annual$1575.00

Sonar

Perplexity

Per request$0.001500
Daily$5.00
Monthly$150.00
Annual$1800.00

Gemini 3.8 Flash (batch) saves you $18.75/month

That's $225.00/year compared to Sonar at your current usage level of 100K calls/month.

13% cheaper
Choose Gemini 3.8 Flash (batch) for cost optimization

Gemini 3.8 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Sonar pricing:
Input:$1.00/M tokens
Output:$1.00/M tokens
Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

Sonar

Perplexity

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 Flash (batch)SonarWinner
Overall Score
81
40
Gemini 3.8 Flash (batch)
Rank#80#392
Gemini 3.8 Flash (batch)
Quality Rank#80#392
Gemini 3.8 Flash (batch)
Adoption Rank#80#392
Gemini 3.8 Flash (batch)
Parameters------
Context Window1049K127K
Gemini 3.8 Flash (batch)
Pricing$0.38/$1.88/M$1.00/$1.00/M--
Signal Scores
Capabilities
100
50
Gemini 3.8 Flash (batch)
Pricing
98
99
Sonar
Context window size
96
81
Gemini 3.8 Flash (batch)
Recency
100
23
Gemini 3.8 Flash (batch)
Output Capacity
77
81
Sonar
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.8: 0Sonar: 0
Gemini 3.8
Sonar
Normalized 0-100%
HLE
44.52%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.8 Flash (batch)Strong Performer

Scores 81/100 (rank #80), placing it in the top 73% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
SonarEntry Level

Scores 40/100 (rank #392), placing it in the top -35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.8 Flash (batch) has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.8 Flash (batch) when you need:

  • Processing long documents or large codebases (1049K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Sonar when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.8 Flash (batch)Best Value
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$33.75
Sonar
Input cost$1.00/M tokens
Output cost$1.00/M tokens
Cost per quality point$0.050
Est. monthly (1M tokens/day)$30.00

Gemini 3.8 Flash (batch) offers 11% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with Sonar vs $33.75/month with Gemini 3.8 Flash (batch) - a $3.75 monthly difference.

Latency & Speed
Gemini 3.8 Flash (batch)Faster
Speed score0/100
Sonar
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.8 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Sonar also offers lower per-token costs for high-volume support

Gemini 3.8 Flash (batch)

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.8 Flash (batch)

Batch data extraction

Lower output pricing ($1.00/M) reduces costs when processing thousands of records daily

Sonar

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.8 Flash (batch)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.8 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.8 Flash (batch)

Gemini 3.8 Flash (batch) clearly outperforms Sonar with a significant 41-point lead. For most general use cases, Gemini 3.8 Flash (batch) is the stronger choice. However, Sonar may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Perplexity

  • Choose for Cost - 11% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.8 Flash (batch)Sonar
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.8 Flash (batch)

Google

Best Value
$2.92
estimated monthly cost

Sonar

Perplexity

$3.00
estimated monthly cost

Gemini 3.8 Flash (batch) saves you $0.0750/month

That's 3% cheaper than Sonar at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.8 Flash (batch)Sonar
Context Window1.0M127K
Max Output Tokens65,536114,364
Open SourceNoNo
CreatedSep 2, 2026Jan 27, 2025
Last updated: 9m ago

Related comparisons

Gemini 3.8 Flash (batch) vs Sonar (2026) | LM Market Cap