Model A

Anthropic

63.5/100

Supported · Public rank #41

90% interval 49.8–77.1

Claude Opus 4.5 vs Gemini 3.7 Flash

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B

Gemini 3.7 Flash

Google

—

Evidence status unavailable

90% interval unavailable

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

Long documents
Prompts that approach the documented context limit
Gemini 3.7 Flash
Gemini 3.7 Flash has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.7 Flash
Gemini 3.7 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates

Show secondary and unsupported calls

Repository review cost
50K fresh input + 3K output tokens
Gemini 3.7 Flash
Gemini 3.7 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

44 Claude Opus 4.5 only

1 Shared

14 Gemini 3.7 Flash only

Shared results: 1
Claude Opus 4.5 only: 44
Gemini 3.7 Flash only: 14
Like-for-like categories: 0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Multimodal

Directional only

Claude Opus 4.5: 69.9
Gemini 3.7 Flash: 88.7
Weighted basis: 2 vs 1 rows
Reading: Directional only

Agentic

Not comparable

Claude Opus 4.5: 62.6
Gemini 3.7 Flash: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Coding

Not comparable

Claude Opus 4.5: 71.7
Gemini 3.7 Flash: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Reasoning

Not comparable

Claude Opus 4.5: 64.4
Gemini 3.7 Flash: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Knowledge

Not comparable

Claude Opus 4.5: 58.1
Gemini 3.7 Flash: Not measured
Weighted basis: 4 vs 0 rows
Reading: Not comparable

Math

Not comparable

Claude Opus 4.5: 57.5
Gemini 3.7 Flash: Not measured
Weighted basis: 4 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

Claude Opus 4.5: 85.7
Gemini 3.7 Flash: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

Claude Opus 4.5: 69.5
Gemini 3.7 Flash: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Claude Opus 4.5 and Gemini 3.7 Flash
Category	Claude Opus 4.5	Gemini 3.7 Flash	Weighted basis	Reading
Multimodal	69.9	88.7	Directional only2 vs 1 rows	Directional only
Agentic	62.6	Not measured	Not comparable2 vs 0 rows	Not comparable
Coding	71.7	Not measured	Not comparable2 vs 0 rows	Not comparable
Reasoning	64.4	Not measured	Not comparable1 vs 0 rows	Not comparable
Knowledge	58.1	Not measured	Not comparable4 vs 0 rows	Not comparable
Math	57.5	Not measured	Not comparable4 vs 0 rows	Not comparable
Multilingual	85.7	Not measured	Not comparable1 vs 0 rows	Not comparable
Instruction following	69.5	Not measured	Not comparable2 vs 0 rows	Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

CharXiv
Multimodal
Claude Opus 4.5: 68.5%Gemini 3.7 Flash: 88.7%Normalized gap 20.2Claude Opus 4.5 source Gemini 3.7 Flash source

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Claude Opus 4.5: $0.0175; Fits in one request
Gemini 3.7 Flash: $0.00262; Fits in one request

Gemini 3.7 Flash has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.5: $0.325; Fits in one request
Gemini 3.7 Flash: $0.04875; Fits in one request

Gemini 3.7 Flash has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Claude Opus 4.5: $1.35; Does not fit in one request; Cached input priced at the published list-input rate
Gemini 3.7 Flash: $0.2025; Fits in one request; Cached input priced at the published list-input rate

Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationClaude Opus 4.5Gemini 3.7 Flash

Context window

Maximum documented context; output-token limits may be lower.

Claude Opus 4.5

200K

Gemini 3.7 Flash

Google Gemini 3.7 Flash model documentation

API model ID

Claude Opus 4.5

Not sourced

Gemini 3.7 Flash

gemini-3.7-flash

Google Gemini 3.7 Flash model documentation

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Claude Opus 4.5

Not published

Gemini 3.7 Flash

Not published

Google: Introducing Gemini 3.7 Flash

Documented inputs

Claude Opus 4.5

Not sourced

Gemini 3.7 Flash

text, image, video, audio, pdf

Google Gemini 3.7 Flash model documentation

Documented outputs

Claude Opus 4.5

Not sourced

Gemini 3.7 Flash

text

Google Gemini 3.7 Flash model documentation

Provider availability

Claude Opus 4.5

Not sourced

Gemini 3.7 Flash

Generally Available · Gemini API, Google AI Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise, Gemini app via Spark

Google Gemini 3.7 Flash launch

Reasoning profile

Claude Opus 4.5

Non-Reasoning

Gemini 3.7 Flash

Reasoning

Weight access

Claude Opus 4.5

Proprietary

Gemini 3.7 Flash

Proprietary

License

Claude Opus 4.5

Proprietary

Gemini 3.7 Flash

Proprietary

Release date

Claude Opus 4.5

2025-11-01

Gemini 3.7 Flash

2026-08-13

If you already use one of these models

Deployment change: The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal: At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost: Repository review: $0.325 vs $0.04875. Cache-heavy agent loop: $1.35 vs $0.2025.
Context tradeoff: Gemini 3.7 Flash has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence59 rows

Agentic

Terminal-Bench 2.0
Claude Opus 4.559.3%
Source
Gemini 3.7 Flash—
Not directly comparable
OSWorld-Verified
Claude Opus 4.566.3%
Source
Gemini 3.7 Flash—
Not directly comparable
OSWorld
Claude Opus 4.566.3%
Source
Gemini 3.7 Flash—
Not directly comparable
Claw-Eval
Claude Opus 4.559.6%
Source
Gemini 3.7 Flash—
Not directly comparable
QwenClawBench
Claude Opus 4.552.3%
Source
Gemini 3.7 Flash—
Not directly comparable
τ³-bench results
Claude Opus 4.570.2%
Source
Gemini 3.7 Flash—
Not directly comparable
VITA-Bench
Claude Opus 4.523.3%
Source
Gemini 3.7 Flash—
Not directly comparable
DeepPlanning
Claude Opus 4.526.4%
Source
Gemini 3.7 Flash—
Not directly comparable
Toolathlon
Claude Opus 4.543.5%
Source
Gemini 3.7 Flash—
Not directly comparable
MCP Atlas
Claude Opus 4.542.3%
Source
Gemini 3.7 Flash—
Not directly comparable
MCP-Tasks
Claude Opus 4.571.8%
Source
Gemini 3.7 Flash—
Not directly comparable
WideResearch
Claude Opus 4.576.4%
Source
Gemini 3.7 Flash—
Not directly comparable
CyberGym
Claude Opus 4.550.6%
Source
Gemini 3.7 Flash—
Not directly comparable
Gert Labs
Claude Opus 4.564.23%
Source
Gemini 3.7 Flash—
Not directly comparable
JobBench
Claude Opus 4.532.3%
Source
Gemini 3.7 Flash—
Not directly comparable
Terminal-Bench 2.1
Claude Opus 4.5—
Gemini 3.7 Flash85.8%
Source
Not directly comparable
Terminal-Bench 3.0
Claude Opus 4.5—
Gemini 3.7 Flash14.9%
Source
Not directly comparable
AutomationBench
Claude Opus 4.5—
Gemini 3.7 Flash30.4%
Source
Not directly comparable
OSWorld 2.0
Claude Opus 4.5—
Gemini 3.7 Flash47.9%
Source
Not directly comparable
Agents' Last Exam
Claude Opus 4.5—
Gemini 3.7 Flash26.3%
Source
Not directly comparable

Coding

SWE-bench Verified
Claude Opus 4.580.9%
Source
Gemini 3.7 Flash—
Not directly comparable
LiveCodeBench v6
Claude Opus 4.584.8%
Source
Gemini 3.7 Flash—
Not directly comparable
SWE-bench Pro
Claude Opus 4.557.1%
Source
Gemini 3.7 Flash—
Not directly comparable
SWE Multilingual
Claude Opus 4.577.5%
Source
Gemini 3.7 Flash—
Not directly comparable
NL2Repo
Claude Opus 4.543.2%
Source
Gemini 3.7 Flash—
Not directly comparable
FrontierCode 1.1 Main
Claude Opus 4.5—
Gemini 3.7 Flash43.6%
Source
Not directly comparable
deepSwe
Claude Opus 4.5—
Gemini 3.7 Flash65.3%
Source
Not directly comparable
Terminal-Bench 2.1
Claude Opus 4.5—
Gemini 3.7 Flash85.8%
Source
Not directly comparable

Reasoning

LongBench v2
Claude Opus 4.564.4%
Source
Gemini 3.7 Flash—
Not directly comparable
AI-Needle
Claude Opus 4.574%
Source
Gemini 3.7 Flash—
Not directly comparable
GDM-MRCR v2 128K average
Claude Opus 4.5—
Gemini 3.7 Flash97%
Source
Not directly comparable

Knowledge

GPQA
Claude Opus 4.587%
Source
Gemini 3.7 Flash—
Not directly comparable
SuperGPQA
Claude Opus 4.570.6%
Source
Gemini 3.7 Flash—
Not directly comparable
MMLU-Pro
Claude Opus 4.589.5%
Source
Gemini 3.7 Flash—
Not directly comparable
MMLU-Redux
Claude Opus 4.596.6%
Source
Gemini 3.7 Flash—
Not directly comparable
C-Eval
Claude Opus 4.592.2%
Source
Gemini 3.7 Flash—
Not directly comparable
HLE
Claude Opus 4.530.8%
Source
Gemini 3.7 Flash—
Not directly comparable
BioMysteryBench (human-solvable)
Claude Opus 4.5—
Gemini 3.7 Flash87.1%
Source
Not directly comparable
BioMysteryBench (human-difficult)
Claude Opus 4.5—
Gemini 3.7 Flash43.5%
Source
Not directly comparable

Math

AIME26
Claude Opus 4.595.1%
Source
Gemini 3.7 Flash—
Not directly comparable
HMMT Feb 2025
Claude Opus 4.592.9%
Source
Gemini 3.7 Flash—
Not directly comparable
HMMT Nov 2025
Claude Opus 4.593.3%
Source
Gemini 3.7 Flash—
Not directly comparable
HMMT Feb 2026
Claude Opus 4.585.3%
Source
Gemini 3.7 Flash—
Not directly comparable
MMAnswerBench
Claude Opus 4.584.0%
Source
Gemini 3.7 Flash—
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Claude Opus 4.520.690%
Source
Gemini 3.7 Flash—
Not directly comparable
FrontierMath v2 (Tier 4)
Claude Opus 4.54.167%
Source
Gemini 3.7 Flash—
Not directly comparable

Multilingual

MMLU-ProX
Claude Opus 4.585.7%
Source
Gemini 3.7 Flash—
Not directly comparable
NOVA-63
Claude Opus 4.556.7%
Source
Gemini 3.7 Flash—
Not directly comparable

Multimodal

MMMU-Pro
Claude Opus 4.570.6%
Source
Gemini 3.7 Flash—
Not directly comparable
MathVision
Claude Opus 4.574.3%
Source
Gemini 3.7 Flash—
Not directly comparable
CharXiv
Claude Opus 4.568.5%
Source
Gemini 3.7 Flash88.7%
Source
Gemini 3.7 Flash leads this result
VideoMMMU
Claude Opus 4.584.4%
Source
Gemini 3.7 Flash—
Not directly comparable
ScreenSpot Pro
Claude Opus 4.545.7%
Source
Gemini 3.7 Flash—
Not directly comparable
V*
Claude Opus 4.567.0%
Source
Gemini 3.7 Flash—
Not directly comparable
GDP.pdf (no tools)
Claude Opus 4.5—
Gemini 3.7 Flash34.0%
Source
Not directly comparable
CharXiv w/o tools
Claude Opus 4.5—
Gemini 3.7 Flash84.5%
Source
Not directly comparable
LVBench
Claude Opus 4.5—
Gemini 3.7 Flash85.4%
Source
Not directly comparable

Instruction following

IFEval
Claude Opus 4.590.9%
Source
Gemini 3.7 Flash—
Not directly comparable
IFBench
Claude Opus 4.558%
Source
Gemini 3.7 Flash—
Not directly comparable

Frequently asked questions

Which is better, Claude Opus 4.5 or Gemini 3.7 Flash?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Claude Opus 4.5 or Gemini 3.7 Flash?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Claude Opus 4.5 or Gemini 3.7 Flash?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Claude Opus 4.5 or Gemini 3.7 Flash?

For the stated presets, chat costs $0.0175 on Claude Opus 4.5 and $0.00263 on Gemini 3.7 Flash; repository review costs $0.325 and $0.04875; the cache-heavy agent loop costs $1.35 and $0.2025. Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Opus 4.5 or Gemini 3.7 Flash?

Gemini 3.7 Flash has the larger documented context window: 1M, compared with 200K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 13, 2026

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Claude Opus 4.5 vs Gemini 3.7 Flash

Which one for your work

Long documents

Chat turn cost

Repository review cost

Coding work

Agentic work

Cache-heavy agent loop cost

What is actually comparable

Category results, on a stated basis

Multimodal

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Instruction following

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Frequently asked questions

Which is better, Claude Opus 4.5 or Gemini 3.7 Flash?

Which is better for coding, Claude Opus 4.5 or Gemini 3.7 Flash?

Which is better for agentic tasks, Claude Opus 4.5 or Gemini 3.7 Flash?

Which costs less, Claude Opus 4.5 or Gemini 3.7 Flash?

Which has the larger context window, Claude Opus 4.5 or Gemini 3.7 Flash?

Related comparisons

Watch Claude Opus 4.5 vs Gemini 3.7 Flash