MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

Gemini 3.1 Pro vs Claude Sonnet 5

Gemini 3.1 Pro wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorGoogle / Anthropic
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Gemini 3.1 Pro when coding depth matter most; choose Claude Sonnet 5 when lower latency is the priority.

Choose Gemini 3.1 Pro if you…

  • Native audio and video
  • Strong scientific computing
  • Largest 2M context
  • Search integration
  • Best for: Multimodal, Scientific reasoning, Audio & video

Choose Claude Sonnet 5 if you…

  • Fast
  • Moderately priced
  • Anthropic quality
  • Value flagship
  • Best for: Daily tasks, Fast responses, Coding
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

Gemini 3.1 Pro Higher overall
Google · #3 overall
Overall83
Coding74
Multimodal92
VS
Claude Sonnet 5
Anthropic · #12 overall
Overall71
Coding73
Multimodal76

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionGemini 3.1 ProClaude Sonnet 5Verdict
VendorGoogle (US)Anthropic (US)Different vendors
Released2026.052026.06Claude Sonnet 5 is newer
Overall (rank)83 · #371 · #12Gemini 3.1 Pro +12
Coding74 · #973 · #10Gemini 3.1 Pro +1
Multimodal92 · #276 · #14Gemini 3.1 Pro +16
Context window2M1MGemini 3.1 Pro larger
Max output128K128KTie
Effective-context9295Claude Sonnet 5 more reliable
Input $/1M$2$3Gemini 3.1 Pro cheaper
Output $/1M$12$15Gemini 3.1 Pro cheaper
Cache discountnone90% offClaude Sonnet 5 deeper
Speed~60 tok/s~65 tok/sClaude Sonnet 5 faster
TTFT0.7s0.5sClaude Sonnet 5 snappier
Function calling7888Claude Sonnet 5 ahead
Refusal rate~12%~8%Claude Sonnet 5 less restrictive
English9090Tie
Chinese7578Claude Sonnet 5
Modalitiestext, image, audio, videotext, imagedifferent coverage
Open weightsNoNoBoth closed
Fine-tuningYesNo
Free tierGemini App free with limited quota; API free tier availableNo free tier
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Gemini 3.1 Pro leads the overall aggregate by 12 points (83 vs 71). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Claude Sonnet 5 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Gemini 3.1 Pro scores 74 against 73. On multi-file edits, SWE-style tickets and long-horizon agent loops Gemini 3.1 Pro needs fewer correction turns; Claude Sonnet 5 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Gemini 3.1 Pro leads multimodal 92 vs 76. A concrete modality difference: Gemini 3.1 Pro additionally handles audio, video.

Speed & latency

Claude Sonnet 5 is faster in interactive use: ~65 tok/s with 0.5s TTFT versus ~60 tok/s with 0.7s TTFT (about 1.1× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 2M for Gemini 3.1 Pro and 1M for Claude Sonnet 5. Crucially, the larger nominal window does not win on usable recall: Gemini 3.1 Pro advertises 2M but Claude Sonnet 5 scores higher on effective-context (95 vs 92), i.e. it actually retains more of what it was given.

Price & total cost

Gemini 3.1 Pro is the cheaper API at $2/$12 versus Claude Sonnet 5 at $3/$15 per 1M input/output tokens — list input is about 1.5× lower. Cache discounts (Claude Sonnet 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Gemini 3.1 Pro 90 vs Claude Sonnet 5 90. Chinese: 75 vs 78. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Gemini 3.1 Pro 78 vs Claude Sonnet 5 88, so Claude Sonnet 5 has the edge on structured tool use. Fine-tuning is available from Gemini 3.1 Pro. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthGemini 3.1 ProClaude Sonnet 5Gap
List priceno cache applied$560100M in × $2  +  30M out × $12$750100M in × $3  +  30M out × $151.34×gap
With caching90% of inputs cache-hit$560no published cache discount$50790M cached in × $0.3  +  10M in × $3  +  30M out × $151.10×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Gemini 3.1 Pro (coding 74 vs 73).
IF you serve real-time users and latency is a product KPI  →  choose Claude Sonnet 5 (~65 tok/s, 0.5s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Gemini 3.1 Pro ($$2/$$12 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Sonnet 5 (effective context 95 vs 92).
07

Frequently asked questions

How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Gemini 3.1 Pro is about $560/month and Claude Sonnet 5 about $507/month after cache discounts ($560 and $750 at list).
Does the bigger context window actually matter?
Nominal windows are Gemini 3.1 Pro (2M) and Claude Sonnet 5 (1M), but usable recall follows the effective-context score (92 vs 95). Prefer the higher effective-context model for long-document work where nothing can be missed.
Which one supports fine-tuning?
Gemini 3.1 Pro supports fine-tuning; Claude Sonnet 5 does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 92 (Gemini 3.1 Pro) vs 76 (Claude Sonnet 5), with modality coverage text/image/audio/video versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Gemini 3.1 Pro for Multimodal, Scientific reasoning; choose Claude Sonnet 5 for Daily tasks, Fast responses.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.