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Every score has a dated snapshot.

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  3. Anthropic: Claude Haiku 4.5 (batch) vs Gemini 3.6 Pro

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

Anthropic: Claude Haiku 4.5 (batch) vs Gemini 3.6 Pro benchmark

In this head-to-head showdown, Anthropic: Claude Haiku 4.5 (batch) is more budget-friendly at $2.5/1M 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 Anthropic: Claude Haiku 4.5 (batch) and Gemini 3.6 Pro present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Anthropic
Anthropic: Claude Haiku 4.5 (batch)

Auto-discovered from OpenRouter (anthropic/claude-haiku-4.5:batch). Preview until a second source matches.

$2.5/1M out
Google
Gemini 3.6 Pro

Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.

Elo 1,570$5/1M out

Gemini 3.6 Pro Thinking Depth & Cost Scaler

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
205 ms
Standard speed
Reasoning Depth
~2,400
Internal tokens
Cost / 1k Calls
$14.13
6.6× standard bill
Accuracy Boost
+4.8% accuracy
STEM & SWE-bench
Top Rival Showdowns for Anthropic: Claude Haiku 4.5 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs 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 Leader

Anthropic: Claude Haiku 4.5 (batch)

$2.5 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGemini 3.6 Pro 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Anthropic: Claude Haiku 4.5 (batch) (2)vsGemini 3.6 Pro (8)
Anthropic: Claude Haiku 4.5 (batch): 2W (20%)Overall: Gemini 3.6 ProGemini 3.6 Pro: 8W (80%)
← Anthropic: Claude Haiku 4.5 (batch)Gemini 3.6 Pro →
Gemini 3.6 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,570
Coding Elo
—vs1,566
SWE-bench
—vs74.6%
LiveBench
—vs71.8%
GPQA Diamond
—vs84.4%
Anthropic: Claude Haiku 4.5 (batch): 0WGemini 3.6 Pro: 5W
Gemini 3.6 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs102 tok/s
Time to first token
—vs205 ms
Anthropic: Claude Haiku 4.5 (batch): 0WGemini 3.6 Pro: 2W
Anthropic: Claude Haiku 4.5 (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$5/1M
Input price
$0.5/1Mvs$1.25/1M
Context window
200kvs2M
Anthropic: Claude Haiku 4.5 (batch): 2WGemini 3.6 Pro: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro1,570
lmarena · Aug 16, 2026
Coding Elo
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro1,566
lmarena · Aug 16, 2026
LiveBench
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro71.8%
livebench · Aug 16, 2026
SWE-bench
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro74.6%
swebench · Aug 16, 2026
GPQA Diamond
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro84.4%
seed-bootstrap · Aug 16, 2026
Time to first token
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro205 ms
seed-bootstrap · Aug 16, 2026
Output speed
Anthropic: Claude Haiku 4.5 (batch)—
Gemini 3.6 Pro102 tok/s
seed-bootstrap · Aug 16, 2026
Input priceAnthropic: Claude Haiku 4.5 (batch) (+$0.75/1M)
Anthropic: Claude Haiku 4.5 (batch)$0.5/1M
openrouter · Aug 17, 2026
Gemini 3.6 Pro$1.25/1M
seed-bootstrap · Aug 16, 2026
Output priceAnthropic: Claude Haiku 4.5 (batch) (+$2.5/1M)
Anthropic: Claude Haiku 4.5 (batch)$2.5/1M
openrouter · Aug 17, 2026
Gemini 3.6 Pro$5/1M
seed-bootstrap · Aug 16, 2026
Context windowGemini 3.6 Pro (+1.8M)
Anthropic: Claude Haiku 4.5 (batch)200k
openrouter · Aug 17, 2026
Gemini 3.6 Pro2M
seed-bootstrap · Aug 16, 2026
BenchmarkAnthropic: Claude Haiku 4.5 (batch)Gemini 3.6 ProAdvantage Delta
Preference Elo—
1,570
lmarena · Aug 16, 2026
—
Coding Elo—
1,566
lmarena · Aug 16, 2026
—
LiveBench—
71.8%
livebench · Aug 16, 2026
—
SWE-bench—
74.6%
swebench · Aug 16, 2026
—
GPQA Diamond—
84.4%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
205 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
102 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$0.5/1M
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 16, 2026
Anthropic: Claude Haiku 4.5 (batch) (+$0.75/1M)
Output price
$2.5/1M
openrouter · Aug 17, 2026
$5/1M
seed-bootstrap · Aug 16, 2026
Anthropic: Claude Haiku 4.5 (batch) (+$2.5/1M)
Context window
200k
openrouter · Aug 17, 2026
2M
seed-bootstrap · Aug 16, 2026
Gemini 3.6 Pro (+1.8M)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 54% with Anthropic: Claude Haiku 4.5 (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Anthropic: Claude Haiku 4.5 (batch)$55.00 / mo
In: $17.5Out: $37.5
Gemini 3.6 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

Anthropic: Claude Haiku 4.5 (batch) is estimated to save $63.75/month ($765/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Anthropic: Claude Haiku 4.5 (batch):Pick Anthropic: Claude Haiku 4.5 (batch) when you are optimizing output cost.
  • 2
    Gemini 3.6 Pro:Pick Gemini 3.6 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Haiku 4.5 (batch)

Lower output list price ($2.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Gemini 3.6 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAnthropic: Claude Haiku 4.5 (batch)Lower output list price ($2.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 3.6 ProLarger window (2M).
Screenshots / visionGemini 3.6 ProGemini 3.6 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 13, 2026

Gemini Flash vs Pro: when Flash is the whole product

3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.

compareJul 24, 2026

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 15, 2026

Gemini 3.6 Pro: Google’s current Pro-class long-context row

2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Anthropic: Claude Haiku 4.5 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$2.5/1M
Google

Gemini 3.6 Pro

Elo 1,570
LiveBench71.8%
SWE-bench74.6%
Speed102 tok/s
Output cost$5/1M

Frequently Asked Questions

Which is better overall, Anthropic: Claude Haiku 4.5 (batch) or Gemini 3.6 Pro?
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, Anthropic: Claude Haiku 4.5 (batch) or Gemini 3.6 Pro?
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?
Anthropic: Claude Haiku 4.5 (batch) output tokens are $2.5/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Haiku 4.5 (batch) or Gemini 3.6 Pro?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 3.6 Pro accepts 2M tokens versus 200k.
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. Anthropic: Claude Haiku 4.5 (batch) and Gemini 3.6 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 13, 2026

    Gemini Flash vs Pro: when Flash is the whole product

  • compare · Jul 24, 2026

    Claude vs Gemini: coding, Elo, and output price — not a brand mashup

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 15, 2026

    Gemini 3.6 Pro: Google’s current Pro-class long-context row

Similar Head-to-Head Comparisons

All Anthropic: Claude Haiku 4.5 (batch) matchups →|All Gemini 3.6 Pro matchups →
Gemini 3.6 Pro vs Gemini 3 Pro (previous gemini-pro)Claude Opus 4.5 vs Gemini 3.6 ProClaude Opus 4.6 vs Gemini 3.6 ProClaude Sonnet 4.5 vs Gemini 3.6 ProGemini 3 Flash vs Gemini 3.6 ProGemini 2.0 Flash Thinking vs Gemini 3.6 Pro