Models

gemini-3.7-flash vs claude-sonnet-5

Output tokens cost $3.75 per million on gemini-3.7-flash and $10.00 per million on claude-sonnet-5. Input tokens cost $0.75 per million on gemini-3.7-flash and $2.00 per million on claude-sonnet-5. Cached input tokens are billed at $0.08 per million on gemini-3.7-flash and $2.00 per million on claude-sonnet-5. Context lengths are 1,048,576 tokens on gemini-3.7-flash and 1,000,000 tokens on claude-sonnet-5. Time to first token (TTFT) measured on AIHubMix is 2.8s on gemini-3.7-flash and 1.5s on claude-sonnet-5. Measured output throughput is 81.6 tok/s on gemini-3.7-flash and 91.0 tok/s on claude-sonnet-5. On the LMArena coding leaderboard gemini-3.7-flash scores 1522 and claude-sonnet-5 scores 1523.

Googlegemini-3.7-flashAnthropicclaude-sonnet-5
Google logo
gemini-3.7-flash
Google · text, image, audio, video → text

Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.

Input$0.75 /M
Output$3.75 /M
Anthropic logo
claude-sonnet-5
Anthropic · text, image → text

Claude Sonnet 5 is the next generation of Anthropic's Sonnet model family. It is a drop-in upgrade for Claude Sonnet 4.6 with three behavior changes: adaptive thinking is on by default, manual extended thinking now returns a 400 error (it was deprecated on Claude Sonnet 4.6), and setting sampling parameters (temperature, top_p, top_k) to non-default values returns a 400 error

Input$2.00 /M
Output$10.00 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

gemini-3.7-flash
claude-sonnet-5
Input /M
$0.75
$2.00
Output /M
$3.75
$10.00
Cache read /M
$0.08
$2.00
Context length
1,048,576
1,000,000
Max output
65,536
128,000
Time to First Token
2.8 s
1.5 s
Throughput
81.6 tok/s
91.0 tok/s
Modalities
textimageaudiovideo
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputsweblong context
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · gemini_api · claude_api
chat_completions · gemini_api · claude_api

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3.7-flashclaude-sonnet-5

Tokens / day

-

Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3.7-flashclaude-sonnet-5

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
gemini-3.7-flashclaude-sonnet-5
1400146015201580
Overall
14621490
Coding
15221523
Math
14671521
Hard prompts
14911508
Instruction following
14681486
Multi-turn
14731500
Creative writing
14341493
Longer query
14831499
Chinese
15021560
English
14761489
WebDev Arena
gemini-3.7-flashclaude-sonnet-5
1480154016001660
Overall
15411588
React
15461583
HTML
15231623
Gaming
15791637
Simulations
15491638
Data analytics
15021561

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

gemini-3.7-flash
$101 /mo
claude-sonnet-5
$270 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: gemini-3.7-flash, claude-sonnet-5?

gemini-3.7-flash: $3.75/M output tokens; claude-sonnet-5: $10.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

claude-sonnet-5: 1523; gemini-3.7-flash: 1522 (LMArena coding leaderboard).

Which responds faster?

claude-sonnet-5: 1.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

gemini-3.7-flash accepts 1,048,576 and claude-sonnet-5 accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on gemini-3.7-flash and 128,000 tokens on claude-sonnet-5.

Which one generates tokens faster?

claude-sonnet-5 at 91.0 tok/s and gemini-3.7-flash at 81.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

gemini-3.7-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; claude-sonnet-5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs.

Can I call gemini-3.7-flash and claude-sonnet-5 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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