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Claude Sonnet 5 vs Gemini 3.1 Pro Preview

AnthropicGoogleboth via one key, provider price + 3%

Both are 2026 frontier models priced almost identically on input tokens ($2.00/M provider price, each) but diverge sharply on output cost, modality support, and agentic benchmark scores. Sonnet 5 is the newer release (June 2026 vs February 2026) and leans into reasoning-effort control with five levels; Gemini 3.1 Pro Preview mandates reasoning and adds native audio/video input. The gap that matters most for most buyers: Sonnet 5's agentic index is more than double Gemini's.

Spec vs spec

SpecClaude Sonnet 5Gemini 3.1 Pro Preview
Context window1M1.0M
Max output128K66K
Input modalitiestext, image, fileaudio, file, image, text, video
Output modalitiestexttext
ReleasedJun 30, 2026Feb 19, 2026
Reasoningoptionalalways on

Pricing

Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.

openkey.ai

anthropic/claude-sonnet-5

Input · 1M tokens

$2.00 + 3%$2.06

Output · 1M tokens

$10.00 + 3%$10.30

Cache read · 1M tokens

$0.200 + 3%$0.206

Cache write · 1M tokens

$2.50 + 3%$2.58

FEE — FLAT, EVERY MODEL3%

openkey.ai

google/gemini-3.1-pro-preview

Input · 1M tokens

$2.00 + 3%$2.06

Output · 1M tokens

$12.00 + 3%$12.36

Cache read · 1M tokens

$0.200 + 3%$0.206

Cache write · 1M tokens

$0.375 + 3%$0.386

FEE — FLAT, EVERY MODEL3%

One workload, priced on both

10M input + 2M output tokens at each model's price, flat 3% fee included.

anthropic/claude-sonnet-5Cheaper

$41.20

$40.00 provider + 3%

google/gemini-3.1-pro-preview

$45.32

$44.00 provider + 3%

Pricing math on a real workload

Provider list price is nearly a tie on input: $2.00/M for both. Output is where they split — Sonnet 5 is $10.00/M, Gemini 3.1 Pro Preview is $12.00/M. On OpenKey (provider price × 1.03 flat fee), that's Sonnet 5 at $2.06/M in, $10.30/M out, and Gemini at $2.06/M in, $12.36/M out.

Run the numbers on a 10M-input / 2M-output workload: Sonnet 5 costs $40.00, Gemini 3.1 Pro Preview costs $44.00. That's a $4 gap per run, and it scales linearly — at 100 runs a month you're looking at $400 saved by defaulting to Sonnet 5, assuming similar token counts. Cache pricing differs too: Sonnet 5's cache write is $2.50/M vs Gemini's $0.375/M, so if your workload leans on cached context reuse, Gemini's cache economics flip the picture.

Coding and agent benchmarks

On Artificial Analysis benchmarks, Sonnet 5 leads across the board: intelligence index 53.4 vs 46.5, coding index 71.5 vs 68.8, and agentic index 46.7 vs 21.4 — more than double Gemini's score. That agentic gap is the one to weigh heavily if you're building tool-calling loops, multi-step agents, or autonomous coding workflows.

Gemini has its own benchmark trail from Design Arena, scoring well on specific categories like SVG generation (rank 2, 70.3% win rate) and ASCII art (rank 4, 63.4% win rate), plus solid results on HTML slides (rank 5-6). But on general fullstack and web app agent tasks it ranks mid-pack (13-16), and on Android-native or mobile app agent work it drops to rank 22-25. Sonnet 5 has no Design Arena entries in this dataset, so direct category-by-category comparison there isn't possible — lean on the Artificial Analysis numbers instead.

Context window and output limits

Gemini 3.1 Pro Preview edges out on context length: 1,048,576 tokens vs Sonnet 5's 1,000,000 — a 0.95 ratio, meaning the practical difference is under 5% and won't change your architecture decisions. Max output tokens is where the real gap sits: Sonnet 5 allows 128,000 tokens per completion, double Gemini's 65,536. If your task generates long structured output — full codebases, long-form reports — Sonnet 5's ceiling gives you more headroom before you need to chain requests.

Modality differences

Sonnet 5 accepts text, image, and file input. Gemini 3.1 Pro Preview accepts all of that plus audio and video, output for both is text-only. If your pipeline needs to process video frames or audio transcripts directly rather than pre-converting to text, Gemini is the only one of the two that can ingest it natively. For pure text/code/image workloads, the modality difference doesn't matter — the decision comes down to price and benchmarks instead.

Reasoning control

Sonnet 5 gives you five reasoning-effort levels (low, medium, high, xhigh, max) and reasoning is optional — you can turn it off entirely. Gemini 3.1 Pro Preview supports three levels (low, medium, high) and reasoning is mandatory, you can't disable it. If you need fine-grained control over latency-vs-quality tradeoffs, or want to skip reasoning for simple calls to save cost, Sonnet 5's flexibility matters. Both default to medium effort.

Which model for which job

Use casePickWhy
Coding agents / autonomous dev toolsClaude Sonnet 5Agentic index of 46.7 vs 21.4 — more than double
Video or audio content analysisGemini 3.1 Pro PreviewOnly one of the two with native audio and video input
Long structured output generationClaude Sonnet 5128,000 max output tokens vs Gemini's 65,536
High-volume output-heavy workloads on a budgetClaude Sonnet 5$40.00 vs $44.00 on a 10M-in/2M-out workload
Heavy cache-reuse pipelinesGemini 3.1 Pro PreviewCache write at $0.375/M vs Sonnet 5's $2.50/M
Fine-grained reasoning-effort tuningClaude Sonnet 5Five effort levels including optional off, vs Gemini's mandatory three

Questions

Which is cheaper for a typical workload?
Claude Sonnet 5, by a small but consistent margin. On a 10M-input/2M-output workload it costs $40.00 versus $44.00 for Gemini 3.1 Pro Preview — a $4 gap driven entirely by output pricing ($10.30/M vs $12.36/M on OpenKey after the 3% fee).
Which model is better for coding?
Claude Sonnet 5. Its Artificial Analysis coding index is 71.5 versus Gemini 3.1 Pro Preview's 68.8, and the agentic index gap is much wider: 46.7 versus 21.4. For agent-driven coding tasks specifically, Sonnet 5 is the clear pick.
Does either model support audio or video input?
Only Gemini 3.1 Pro Preview. It accepts text, image, file, audio, and video input. Claude Sonnet 5 is limited to text, image, and file — no audio or video support.
How do context windows compare?
Nearly identical. Gemini 3.1 Pro Preview has 1,048,576 tokens of context, Claude Sonnet 5 has 1,000,000 — a ratio of 0.95, so under 5% difference. Max output tokens differ more: Sonnet 5 allows 128,000, Gemini caps at 65,536.

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