Claude Opus 4.7 vs GPT-5 Image Mini

GPT-5 Image Mini costs 12.5x less per output token than Claude Opus 4.7 ($2.00 vs $25.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace Claude Opus 4.7 Replace GPT-5 Image Mini

Claude Opus 4.7Anthropic

Coding: 67.5
Overall: 71.6
Output $/M: $25.00

GPT-5 Image MiniOpenAI

Coding: No data
Overall: No data
Output $/M: $2.00

vs $25.00 vs $2.00 per 1M output tokens. GPT-5 Image Mini is 12.5x cheaper.

Claude Opus 4.7 or GPT-5 Image Mini: which to pick

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; GPT-5 Image Mini has none, so the two cannot be ranked on coding.

Pick GPT-5 Image Mini for output tokens 12.5x cheaper ($2.00 vs $25.00 per million).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved task Model BGPT-5 Image MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Claude Opus 4.7 has results on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI); GPT-5 Image Mini on Design Arena: images, Design Arena: graphic design and Design Arena: logos. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Claude Opus 4.7 has a AA Intelligence Index result, 40.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Claude Opus 4.7 has a AA Agentic Index result, 38.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Image generation
Design Arena: images
No call
Only GPT-5 Image Mini has a Design Arena: images result, 1184.
Directional only
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Image Mini
Claude Opus 4.7 $0.018, GPT-5 Image Mini $0.0035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.7 has the number, $2.95.
Directional only

At a glance

Coding index: Claude Opus 4.7 67.5 from 4 benchmarks, GPT-5 Image Mini not benchmarked.
Widest category: None yet: no category has been tested on both models.
Widest single gap: None yet: no benchmark has tested both models.
Output price: Claude Opus 4.7 $25.00 against GPT-5 Image Mini $2.00 per million output tokens, 12.5x apart.
Context window: Claude Opus 4.7 takes 1M tokens, GPT-5 Image Mini 400K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index19 boards measured

Coding benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
LMArena WebDev	1558	Not measured	Only Claude Opus 4.7 measured
AA Coding Index	73.6	Not measured	Only Claude Opus 4.7 measured
LiveCodeBench (Vals AI)	85.1%	Not measured	Only Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)	82.0%	Not measured	Only Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)	71.0%	Not measured	Only Claude Opus 4.7 measured
Code migration (Vals AI)	43.9%	Not measured	Only Claude Opus 4.7 measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)	68.5%	Not measured	Only Claude Opus 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)	54.5%	Not measured	Only Claude Opus 4.7 measured
Terminal-Bench	80.2%	Not measured	Only Claude Opus 4.7 measured
FrontierCode	38.5%	Not measured	Only Claude Opus 4.7 measured
GSO-Bench	44.1%	Not measured	Only Claude Opus 4.7 measured
WeirdML	76.4%	Not measured	Only Claude Opus 4.7 measured
MirrorCode	31.1%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: coding	1519	Not measured	Only Claude Opus 4.7 measured
LMArena Text: software and IT	1516	Not measured	Only Claude Opus 4.7 measured
LMArena WebDev: React	1560	Not measured	Only Claude Opus 4.7 measured
LMArena WebDev: HTML	1554	Not measured	Only Claude Opus 4.7 measured
LMArena WebDev: from an image	1577	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 20 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Intelligence benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
AA Intelligence Index	40.7	Not measured	Only Claude Opus 4.7 measured
Epoch Capabilities Index	156.8	Not measured	Only Claude Opus 4.7 measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured

Agentic work benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
AA Agentic Index	38.6	Not measured	Only Claude Opus 4.7 measured
Finance Agent (Vals AI)	51.5%	Not measured	Only Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)	23.7%	Not measured	Only Claude Opus 4.7 measured
Legal Research Bench (Vals AI)	38.5%	Not measured	Only Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)	63.7%	Not measured	Only Claude Opus 4.7 measured
τ²-Bench Telecom	88.6%	Not measured	Only Claude Opus 4.7 measured
APEX-Agents	49.2%	Not measured	Only Claude Opus 4.7 measured
OSWorld 2.0	18.2%	Not measured	Only Claude Opus 4.7 measured
PostTrainBench	28.6%	Not measured	Only Claude Opus 4.7 measured
Vending-Bench 2	$10,937	Not measured	Only Claude Opus 4.7 measured
LMArena Search	1230	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured

Reasoning benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
GPQA Diamond	90.2%	Not measured	Only Claude Opus 4.7 measured
MMMU Pro (Vals AI)	85.5%	Not measured	Only Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)	91.4%	Not measured	Only Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)	42.3%	Not measured	Only Claude Opus 4.7 measured
GPQA Diamond (Epoch AI run)	90.2%	Not measured	Only Claude Opus 4.7 measured
ARC-AGI	93.5%	Not measured	Only Claude Opus 4.7 measured
ARC-AGI-2	75.8%	Not measured	Only Claude Opus 4.7 measured
SimpleBench	61.7%	Not measured	Only Claude Opus 4.7 measured
Chess puzzles	41.0%	Not measured	Only Claude Opus 4.7 measured
Mystery game puzzles	28.0%	Not measured	Only Claude Opus 4.7 measured
EBR-bench	19.0%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: hard prompts	1506	Not measured	Only Claude Opus 4.7 measured
LMArena Text: expert	1521	Not measured	Only Claude Opus 4.7 measured
LMArena Text: hard prompts in English	1508	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: diagrams	1336	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: homework	1337	Not measured	Only Claude Opus 4.7 measured
Kagi LLM Benchmark	80.7%	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured

Math benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
AIME	96.3%	Not measured	Only Claude Opus 4.7 measured
OTIS Mock AIME	97.8%	Not measured	Only Claude Opus 4.7 measured
FrontierMath, tiers 1 to 3	70.2%	Not measured	Only Claude Opus 4.7 measured
FrontierMath, tier 4	31.7%	Not measured	Only Claude Opus 4.7 measured
ProofBench	54.0%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: math	1498	Not measured	Only Claude Opus 4.7 measured
LMArena Text: mathematical work	1509	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards measured

Knowledge benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
MMLU Pro	89.9%	Not measured	Only Claude Opus 4.7 measured
LegalBench (Vals AI)	85.3%	Not measured	Only Claude Opus 4.7 measured
CaseLaw (Vals AI)	68.4%	Not measured	Only Claude Opus 4.7 measured
CorpFin (Vals AI)	66.1%	Not measured	Only Claude Opus 4.7 measured
TaxEval (Vals AI)	75.3%	Not measured	Only Claude Opus 4.7 measured
MortgageTax (Vals AI)	70.3%	Not measured	Only Claude Opus 4.7 measured
MedCode (Vals AI)	54.9%	Not measured	Only Claude Opus 4.7 measured
SimpleQA Verified	51.7%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: science	1508	Not measured	Only Claude Opus 4.7 measured
LMArena Text: medicine and healthcare	1495	Not measured	Only Claude Opus 4.7 measured
LMArena Text: legal and government	1504	Not measured	Only Claude Opus 4.7 measured
LMArena Text: business and finance	1490	Not measured	Only Claude Opus 4.7 measured
FACTS Benchmark Suite	45.5%	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index34 boards measured

General benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
SAGE (Vals AI)	56.1%	Not measured	Only Claude Opus 4.7 measured
MedScribe (Vals AI)	83.0%	Not measured	Only Claude Opus 4.7 measured
Vals Multimodal Index	67.4%	Not measured	Only Claude Opus 4.7 measured
IFBench	58.6%	Not measured	Only Claude Opus 4.7 measured
Long context reasoning (AA-LCR)	78.7%	Not measured	Only Claude Opus 4.7 measured
DTBench	94.7%	Not measured	Only Claude Opus 4.7 measured
LMCA	52.2%	Not measured	Only Claude Opus 4.7 measured
Furniture assembly	33.3%	Not measured	Only Claude Opus 4.7 measured
ExploitBench	26.5%	Not measured	Only Claude Opus 4.7 measured
LMArena Text	1490	Not measured	Only Claude Opus 4.7 measured
LMArena Text: instruction following	1498	Not measured	Only Claude Opus 4.7 measured
LMArena Text: creative writing	1486	Not measured	Only Claude Opus 4.7 measured
LMArena Vision	1317	Not measured	Only Claude Opus 4.7 measured
LMArena Text: English	1496	Not measured	Only Claude Opus 4.7 measured
LMArena Text: non-English	1480	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Chinese	1531	Not measured	Only Claude Opus 4.7 measured
LMArena Text: German	1495	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Japanese	1474	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Korean	1464	Not measured	Only Claude Opus 4.7 measured
LMArena Text: French	1503	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Spanish	1494	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Russian	1494	Not measured	Only Claude Opus 4.7 measured
LMArena Text: Polish	1489	Not measured	Only Claude Opus 4.7 measured
LMArena Text: multi-turn	1505	Not measured	Only Claude Opus 4.7 measured
LMArena Text: longer queries	1505	Not measured	Only Claude Opus 4.7 measured
LMArena Text: writing and language	1492	Not measured	Only Claude Opus 4.7 measured
LMArena Text: entertainment and media	1474	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: English	1322	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: Chinese	1371	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: reading text	1327	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: humor	1309	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: recognizing things	1278	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: creative writing	1326	Not measured	Only Claude Opus 4.7 measured
LMArena Document	1495	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 12 boards here

Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Image generation benchmarks for Claude Opus 4.7 and GPT-5 Image Mini
Benchmark	Claude Opus 4.7	GPT-5 Image Mini	Leader
Design Arena: images	Not measured	1184	Only GPT-5 Image Mini measured
Design Arena: graphic design	Not measured	1165	Only GPT-5 Image Mini measured
Design Arena: logos	Not measured	1209	Only GPT-5 Image Mini measured
Neither model has a result on the other 2 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request

GPT-5 Image Mini$0.0035Fits in one request

GPT-5 Image Mini costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request

GPT-5 Image Mini$0.131Fits in one request

GPT-5 Image Mini costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request

GPT-5 Image Mini$0.520Fits in one request

GPT-5 Image Mini costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and GPT-5 Image Mini
Specification	Anthropic Claude Opus 4.7	OpenAI GPT-5 Image Mini
Maker	Anthropic	OpenAI
Weights	No public weights listed	No public weights listed
Released	April 16, 2026	October 16, 2025
Context window	1M	400K
Input $/Mtok	$5.00	$2.50
Output $/Mtok	$25.00	$2.00
Coding index	67.5	Not benchmarked
Independent measurements behind it	4	0
Cost per solved task	$2.95	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-5 Image Mini for coding?

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; GPT-5 Image Mini has none, so the two cannot be ranked on coding. Pick GPT-5 Image Mini for output tokens 12.5x cheaper ($2.00 vs $25.00 per million).

Which is cheaper, Claude Opus 4.7 or GPT-5 Image Mini?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5 Image Mini costs $2.50 and $2.00. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or GPT-5 Image Mini?

Claude Opus 4.7, with 1M tokens against 400K.

Has any benchmark tested both Claude Opus 4.7 and GPT-5 Image Mini?

Claude Opus 4.7 or GPT-5 Image Mini: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Image generation

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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