text model comparison
Claude Haiku 5.5 vs Gemini 3.5 Flash-Lite
Claude Haiku 5.5 and Gemini 3.5 Flash-Lite are both current text models, from Anthropic and Google. Claude Haiku 5.5 is 67% cheaper per 1M input tokens than Gemini 3.5 Flash-Lite, $0.10 vs $0.30. On GPQA Diamond, Claude Haiku 5.5 scores 89.6% and Gemini 3.5 Flash-Lite 83.3% (Epoch AI, measured October 12, 2026). Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
- Higher GPQA Diamond
- Claude Haiku 5.589.6% against 83.3%
- Lower price per 1M input tokens
- Claude Haiku 5.5$0.10 against $0.30
- Longer context window
- Gemini 3.5 Flash-Lite1.05M tokens against 1M tokens
- Newer release
- Claude Haiku 5.5Oct 2026 against Jul 2026
Data verified October 13, 2026 · Dataset 2026-10-28
Side by side
Claude Haiku 5.5 and Gemini 3.5 Flash-Lite, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Claude Haiku 5.5 | Gemini 3.5 Flash-Lite |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.10 (better) | $0.30 |
| Price per 1M output tokens | $0.50 (better) | $2.50 |
| Independent benchmarks | ||
| GPQA Diamond | 89.6% (#29 of 40) (better) | 83.3% (#35 of 40) |
| FrontierMath Tiers 1-3 (v2) | 75.1% (#16 of 40) (better) | 26% (#37 of 40) |
| SimpleQA Verified | 23.8% (#33 of 36) | Not measured |
| Arena Text | Not measured | 1455 Elo (#32 of 49) |
| Specs | ||
| Provider | Anthropic | |
| Release date | October 7, 2026 | July 21, 2026 |
| Access | API only | API only |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | 65,536 tokens |
| Input | text, image | text, image, audio, video |
| Output | text | text |
Charts
Against every current text model
Where Claude Haiku 5.5 and Gemini 3.5 Flash-Lite land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On GPQA Diamond, Claude Haiku 5.5 ranks #29 and Gemini 3.5 Flash-Lite #35 of 40 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Claude Haiku 5.5: Not scored
Gemini 3.5 Flash-Lite:#32of 49
1,455 Elo · ahead of 35%
GPQA Diamond
Claude Haiku 5.5:#29of 40
89.6% · ahead of 28%
Gemini 3.5 Flash-Lite:#35of 40
83.3% · ahead of 13%
FrontierMath Tiers 1-3 (v2)
Claude Haiku 5.5:#16of 40
75.1% · ahead of 62%
Gemini 3.5 Flash-Lite:#37of 40
26% · ahead of 8%
SimpleQA Verified
Claude Haiku 5.5:#33of 36
23.8% · ahead of 9%
Gemini 3.5 Flash-Lite: Not scored
Price and context
Price per 1M input tokens
Claude Haiku 5.5:#1of 51
$0.10 · cheaper than 96%
Gemini 3.5 Flash-Lite:#11of 51
$0.30 · cheaper than 76%
Price per 1M output tokens
Claude Haiku 5.5:#3of 51
$0.50 · cheaper than 92%
Gemini 3.5 Flash-Lite:#15of 51
$2.50 · cheaper than 68%
Context window
Claude Haiku 5.5:#28of 66
1M tokens · longer than 22%
Gemini 3.5 Flash-Lite:#11of 66
1.05M tokens · longer than 65%
Quality against price
Gemini 3.5 Flash-Lite scores 1,455 at $0.85 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,525 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,501 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,494 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| Gemini 3.7 Flash | $1.50 | 1,486 | |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| GPT-6.1 Sol | OpenAI | $4 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,483 |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Gemini 3.6 Flash | $3 | 1,482 | |
| Claude Opus 4.8 | Anthropic | $10 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GLM-5.3 | Z.ai | $2.15 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,466 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| Grok 4.6 | xAI | $3 | 1,454 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,451 |
| GPT-6 Luna | OpenAI | $0.20 | 1,443 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Mistral Large 4 | Mistral AI | $2.06 | 1,429 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,386 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Gemini 3.5 Flash-Lite costs 4.0 times as much as Claude Haiku 5.5, at each provider's listed rates.
10M input and 2M output tokens
Gemini 3.5 Flash-Lite costs 4.0× as much
- Claude Haiku 5.5
- $2
- Gemini 3.5 Flash-Lite
- $8
The same, with 9M of the input tokens cached
Gemini 3.5 Flash-Lite costs 4.7× as much
- Claude Haiku 5.5
- $1.19
- Gemini 3.5 Flash-Lite
- $5.57
| Workload or rate | Claude Haiku 5.5 | Gemini 3.5 Flash-Lite |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $2 (better) | $8 |
| The same, with 9M of the input tokens cached | $1.19 (better) | $5.57 |
| The same, through the batch API | $1 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.01 (better) | $0.03 |
| 1M input tokens, 5-minute cache write | $0.125 | Not listed |
| 1M input tokens, 1-hour cache write | $0.20 | Not listed |
| 1M input tokens, batch | $0.05 | Not listed |
| 1M output tokens, batch | $0.25 | Not listed |
| 1M input tokens, prompts over 100K tokens | $0.50 | Not listed |
| 1M output tokens, prompts over 100K tokens | $2.50 | Not listed |
Verdict
When to choose each
Claude Haiku 5.5
Where it leads
- Lower input and output prices, $0.10 and $0.50 vs $0.30 and $2.50 per 1M tokens
- Higher GPQA Diamond score, 89.6% vs 83.3%
- Higher FrontierMath Tiers 1-3 (v2) score, 75.1% vs 26%
- Longer responses, up to 128,000 vs 65,536 output tokens
- Cheaper cached input, $0.01 vs $0.03 per 1M tokens
- Batch pricing, $0.05 input and $0.25 output per 1M tokens
Best for
- High-volume classification, extraction and routing under the 100,000-token line
- Cost-sensitive fan-out steps where a frontier model is overkill
Watch out for
- Priced by prompt length, and it is a cliff rather than a taper: a request whose prompt passes 100,000 tokens is billed at $0.50 input and $2.50 output for the whole request, five times the short rate
- Cache reads and cache writes both count toward that 100,000-token measurement, so a large cached prefix can tip a request into the higher band on its own
- It is the only current Claude model whose 1M window is not priced uniformly; every other 4.6-and-later model bills a 900k request at the same rate as a 9k one
Gemini 3.5 Flash-Lite
Where it leads
- Accepts audio and video input
Best for
- High-volume extraction, structured parsing, and cost-sensitive subagent trials
Watch out for
- The represented prices are standard API rates; batch, flex, and priority consumption use different rates
From benchmark to production
Building on Claude Haiku 5.5 or Gemini 3.5 Flash-Lite?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
FAQ
Claude Haiku 5.5 vs Gemini 3.5 Flash-Lite FAQ
Which is cheaper, Claude Haiku 5.5 or Gemini 3.5 Flash-Lite?
Claude Haiku 5.5 is 67% cheaper per 1M input tokens than Gemini 3.5 Flash-Lite, $0.10 vs $0.30. For 10M input and 2M output tokens, Claude Haiku 5.5 costs $2 and Gemini 3.5 Flash-Lite $8 at standard rates.
Which is cheaper with prompt caching, Claude Haiku 5.5 or Gemini 3.5 Flash-Lite?
Claude Haiku 5.5 charges $0.01 per 1M cached input tokens, 90% below its standard input rate, and Gemini 3.5 Flash-Lite $0.03, 90% below. With 9M of 10M input tokens cached and 2M output tokens, Claude Haiku 5.5 costs $1.19 and Gemini 3.5 Flash-Lite $5.57.
Which scores higher on independent benchmarks, Claude Haiku 5.5 or Gemini 3.5 Flash-Lite?
Claude Haiku 5.5 leads on GPQA Diamond, 89.6% to 83.3%; Claude Haiku 5.5 leads on FrontierMath Tiers 1-3 (v2), 75.1% to 26%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Claude Haiku 5.5 or Gemini 3.5 Flash-Lite?
Both accept about 1.05M tokens of context (1,048,576 and 1,000,000). Claude Haiku 5.5 returns up to 128,000 tokens per response, Gemini 3.5 Flash-Lite 65,536.
How do Claude Haiku 5.5 and Gemini 3.5 Flash-Lite differ in features?
Claude Haiku 5.5 takes text and image input; Gemini 3.5 Flash-Lite takes text, image, audio and video.
Further reading
More on Claude Haiku 5.5 and Gemini 3.5 Flash-Lite
Articles on Claude Haiku 5.5 and Gemini 3.5 Flash-Lite
- Claude Haiku 5.5 vs Haiku 4.5: What Changes When You UpgradeOctober 14, 2026
- Claude Haiku 5.5: Real Cost, Benchmarks and When to Use ItOctober 14, 2026
Related comparisons
- Claude Fable 5 vs Claude Haiku 5.5
- Gemini 3.5 Flash-Lite vs GPT-6 Luna
- Claude Haiku 5.5 vs Claude Opus 4.8
- DeepSeek-V4.1-Flash vs Gemini 3.5 Flash-Lite
- Claude Haiku 5.5 vs Claude Opus 5.5
- Gemini 3.5 Flash-Lite vs GLM-5.3-Flash
- Claude Haiku 5.5 vs Claude Sonnet 5
- Gemini 3.5 Flash-Lite vs Grok 4.6
- Claude Haiku 5.5 vs Gemini 3 Flash Preview
- Gemini 3.5 Flash-Lite vs GPT-4.1 mini
- Claude Haiku 5.5 vs GPT-4.1
- Gemini 3.5 Flash-Lite vs GPT-5.6 Luna
Production evaluation
Choosing between Claude Haiku 5.5 and Gemini 3.5 Flash-Lite?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
