Head-to-head

Gemini 3 Pro logovsClaude Opus 4.7 logo

Gemini 3 Pro vs Claude Opus 4.7: which AI model wins in 2026?

Gemini 3 Pro ($12/1M out (prompts ≤200K)) and Claude Opus 4.7 ($25/1M out) are two of the most-used AI models in 2026. Across 6 community votes, Gemini 3 Pro leads with 57% approval.

Quick verdict

On Reasoning, Gemini 3 Pro and Claude Opus 4.7 are tied at 4.5/5. On budget, Gemini 3 Pro wins: it starts at $12/1M out (prompts ≤200K) versus $25/1M out for Claude Opus 4.7.

Line-by-line comparison

From
$12/1M out (prompts ≤200K)Standard tier: $2/$12 per 1M tokens for prompts ≤200K, $4/$18 above 200K; batch at 50% off. Retired March 9, 2026, successor Gemini 3.1 Pro keeps identical pricing.
$25/1M out$5 in / $25 out per 1M tokens on the standard API tier, flat up to the full 1M context (no long-context premium); Batch API -50%; new tokenizer yields ~30% more tokens than pre-4.7 models.
Provider
Google (DeepMind)
Anthropic
Context window
1M tokens (64K output)
1M tokens (128K max output)
Input price
$2/1M in (prompts ≤200K)
$5/1M in
Output price
$12/1M out (prompts ≤200K)
$25/1M out
Modalities
text, image, audio, video in; text out
text + image input (up to 2576px), text output
Open weights
No
No
Crowd score
57%(3)
57%(3)
Arena ratings (1-5)
Reasoning
4.5
4.5
Coding
4.5
4.5
Writing
3.5
4.5
Speed
3.5
2.5
Value
4.0
3.0

Strengths and weaknesses

Gemini 3 Pro

  • Topped LMArena at launch with a record 1501 Elo and scored 91.9% on GPQA Diamond, state of the art at release
  • ARC-AGI-2 at 31.1%, roughly 6x Gemini 2.5 Pro (4.9%) and nearly double GPT-5.1 (17.6%) at the time
  • Best-in-class multimodal understanding: 81% MMMU-Pro, 87.6% Video-MMMU, with a 1M-token context window
  • Strong agentic coding: 76.2% SWE-bench Verified, 54.2% Terminal-Bench 2.0, 1487 Elo on WebDev Arena
  • Undercut rivals on price at $2/$12 per 1M tokens, below Claude Sonnet-class pricing ($3/$15)
  • Configurable thinking_level (low/medium/high) lets developers trade reasoning depth against latency and cost
  • Overconfident hallucinations: on AA-Omniscience it gave a wrong answer 88% of the time instead of declining, vs 48% for Claude Sonnet 4.5 (the-decoder)
  • Sycophancy widely reported by reviewers (Zvi Mowshowitz: 'vast intelligence with no spine'); needs tight system prompts
  • Tool-calling reliability issues in agent stacks: devs reported tool outputs dumped into the chat thread and more scaffolding needed than OpenAI/Anthropic models
  • Slow at high thinking level: time to first token measured around 30-60s on AI Studio despite ~130 tok/s output speed
  • Retired: shut down on the Gemini API and AI Studio on March 9, 2026, with gemini-3-pro-preview now aliased to Gemini 3.1 Pro

Claude Opus 4.7

  • 87.6% SWE-bench Verified (up from 80.8% on Opus 4.6) and 64.3% SWE-bench Pro at launch, ahead of GPT-5.4 (57.7%) and Gemini 3.1 Pro (54.2%)
  • 1M-token context window and 128K max output at flat $5/$25 pricing with no long-context premium (300K output via Batch API beta)
  • First Claude with high-resolution vision: accepts images up to 2576px on the long edge with pixel-accurate coordinates, ~3x prior detail
  • Standout code review: finds more real bugs with stronger cross-file reasoning than rivals in independent tests, and 21% fewer document-reasoning errors than Opus 4.6
  • Fine cost control via new xhigh effort level and Task Budgets (beta): low-effort 4.7 roughly matches medium-effort 4.6 output quality
  • Recent knowledge: reliable cutoff of January 2026, the freshest of any Claude model at release
  • New tokenizer inflates token counts roughly 30% for the same text versus pre-4.7 models (per Anthropic's own docs), raising effective per-request cost despite the unchanged sticker price
  • Very verbose in agentic use: one benchmark found GPT-5.5 used 72% fewer output tokens on equivalent coding tasks, and reviewers call its narration over-communicative
  • Breaking API changes bite migrators: temperature/top_p/top_k and thinking budget_tokens now return 400 errors, and thinking text is hidden by default
  • Moderate latency with minutes-long turns at high effort; fast mode is a premium research preview already deprecated on 4.7
  • Superseded by Opus 4.8 at the same $5/$25 within ~3 months, and real-time cybersecurity safeguards can false-positive on legitimate security work

Cast your verdict

One recommendation per tool per gladiator. It reshapes the crowd score everyone sees.

Gemini 3 Pro$12/1M out (prompts ≤200K)
57%crowd score · 3
Claude Opus 4.7$25/1M out
57%crowd score · 3

The arena’s verdict on Gemini 3 Pro

A landmark release that put Google back on top in late 2025, with a huge reasoning jump over Gemini 2.5 Pro and the best multimodal scores of its generation. As of mid-2026 there is no reason to choose it: Google shut it down on the API on March 9, 2026, and Gemini 3.1 Pro costs exactly the same while more than doubling ARC-AGI-2 performance (77.1% vs 31.1%). Teams on legacy deployments should migrate to 3.1 Pro, which the old model ID now points to anyway. Avoid it for hallucination-sensitive workloads unless you add grounding, a weakness reviewers flagged repeatedly.

The arena’s verdict on Claude Opus 4.7

Choose Opus 4.7 only if you are already pinned to it for reproducibility: Opus 4.8 costs the same $5/$25, keeps an identical API surface, and outperforms it, making it the better default for new projects. It remains a very strong pick for agentic coding, code review and 1M-context document work, and is a clear upgrade over Opus 4.6. Teams migrating from 4.6 should budget for breaking API changes and a tokenizer that yields roughly 30% more tokens per prompt. Cost-sensitive users should look at Sonnet 5, which delivers near-Opus quality at $3/$15 (intro $2/$10 through August 31, 2026).

What the crowd says

On Gemini 3 Pro

Judge Dreadful

Confidently wrong is its worst mode. On AA-Omniscience it gave a wrong answer 88% of the time instead of declining. Add the sycophancy and you need a tight system prompt to trust it.

Champion of Vibes

ARC-AGI-2 at 31% was about 6x Gemini 2.5 Pro and nearly double GPT-5.1 at the time. For visual-heavy work (81 MMMU-Pro) nothing else came close.

Glorius Maximus

1501 Elo on LMArena at launch was deserved. Multimodal is where it kills, I feed it lecture videos and dense PDFs and it just gets it. 1M context helps.

On Claude Opus 4.7

Thumbs Downicus

Watch your invoices. New tokenizer counts ~30% more tokens for the same text, and it narrates every tiny step. Sticker price unchanged, effective cost definitely not.

The Fair Reviewer

Came from 4.6 and stopped chunking repos entirely. 1M context, 128K output, flat $5/$25 with no long-context premium. That pricing decision alone won me over.

Sir Ships-A-Lot

87.6 SWE-bench Verified is not just marketing, it closes tickets GPT-5.4 fumbles. And the hi-res vision with pixel-accurate coords finally makes screenshot debugging useful.

Frequently asked questions

Is Gemini 3 Pro better than Claude Opus 4.7?

The right pick depends on your use case. The line-by-line comparison on this page breaks down pricing, key specs and arena ratings.

Which is cheaper, Gemini 3 Pro or Claude Opus 4.7?

Gemini 3 Pro is cheaper: it starts at $12/1M out (prompts ≤200K), while Claude Opus 4.7 starts at $25/1M out.

How much do Gemini 3 Pro and Claude Opus 4.7 cost per 1M tokens?

Gemini 3 Pro: $2/1M in (prompts ≤200K) per 1M input tokens, $12/1M out (prompts ≤200K) per 1M output tokens. Claude Opus 4.7: $5/1M in per 1M input tokens, $25/1M out per 1M output tokens.